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Prompt Details

Model
(claude-5-sonnet)
Token size
4,612
Example input
[ORIGINAL_QUESTION]: What country is the university located in where the researcher who created the Atlas compression method earned her PhD? [SYSTEM_NAME]: Atlas Research Assistant — researcher education lookup [SUB_QUESTIONS_AND_CHUNKS]: Hop 1 sub-question: "Who created the Atlas compression method?" Hop 1 retrieved chunk: "The Atlas compression method was introduced by computer scientist Dr. Maya Chen in a 2022 paper on efficient representation learning." Hop 1 resolves: Dr. Maya Chen. Hop 2 sub-question: "Where did she earn her PhD?" Hop 2 retrieved chunks: Chunk A: "Several researchers working on compression methods completed doctoral studies at universities in the United States and Canada." Chunk B: "Research scientist Maya Ortiz received her doctorate from Stanford University before joining the laboratory." No retrieved chunk contains "Maya Chen." Final answer: "The available evidence suggests Stanford University, but the researcher cannot be confirmed." [FINAL_ANSWER]: The available evidence suggests Stanford University, but the researcher cannot be confirmed.
Example output
``` ENTITY CHAIN BREAK AUDIT System/trace reviewed: Atlas Research Assistant — researcher education lookup Original question: What country is the university located in where the researcher who created the Atlas compression method earned her PhD? Hops in trace: 2 ── FINDING CARD 1 ── Location: Hop 2 handoff (Hop 1 → Hop 2) Entity: Dr. Maya Chen (resolved in Hop 1) Evidence: Hop 2 sub-question sent to the retriever: "Where did she earn her PhD?"; no name restated from Hop 1's answer ("Dr. Maya Chen"). Classification: RETRIEVAL-SIDE BREAK Reasoning: The unresolved pronoun "she" gave the retriever nothing to anchor on, and the retrieved chunks show the consequence directly: Chunk A is a generic, un-anchored statement about unnamed researchers, and Chunk B surfaces a different, merely similar-sounding person (Maya Ortiz, not Maya Chen). ── FINDING CARD 2 ── Location: Chunk B retrieved in Hop 2 Entity: Maya Ortiz (mistaken for Dr. Maya Chen) Evidence: Retrieved chunk: "Research scientist Maya Ortiz received her doctorate from Stanford University before joining the laboratory." This chunk names a different individual than the one resolved in Hop 1. Classification: NO BREAK Reasoning: There is no entity-chain break to classify here — the chunk is internally coherent and fully resolved on its own terms. It is simply the wrong entity, a symptom that traces back to the retrieval-side break in Card 1, not a separate generation-side failure of its own. ROOT-CAUSE VERDICT: RETRIEVAL-SIDE The entity resolved cleanly in Hop 1 but was never carried into the Hop 2 sub-question. That dropped name is what let the retriever return an unanchored generic chunk and a same-first-name false match, producing a final answer that names the wrong university with an appended (but insufficient) hedge. Refused inferences: none. The evidence in both chunks was sufficient to classify directly without guessing. Injection signals: none Source: arXiv:2609.06065 (Lee & Lim, UNIST, EMNLP 2026 Findings) ```
🌀 Claude

Entity Chain Break Auditor

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CLAUDE-5-SONNET
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Built on the two-failure-point taxonomy from a peer-reviewed 2026 EMNLP paper (arXiv:2609.06065): entities get lost either at the hop handoff (a later sub-question drops the resolved entity) or at the chunk boundary (a pronoun's antecedent lands in a different chunk than the pronoun itself).
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Added 4 days ago
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