Triple

T6542065
Position Surface form Disambiguated ID Type / Status
Subject Michael Chertoff E168312 entity
Predicate name P16 FINISHED
Object Michael Chertoff E168312 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Michael Chertoff | Statement: [Michael Chertoff, name, Michael Chertoff]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michael Chertoff
Context triple: [Michael Chertoff, name, Michael Chertoff]
  • A. Michael Chertoff chosen
    Michael Chertoff is an American attorney and former federal judge who served as the second United States Secretary of Homeland Security under President George W. Bush.
  • B. John Ashcroft
    John Ashcroft is an American politician and lawyer who served as the 79th United States Attorney General under President George W. Bush and previously as a U.S. senator from Missouri.
  • C. Leon E. Panetta
    Leon E. Panetta is an American politician and public servant who has served as U.S. Secretary of Defense, Director of the CIA, White House Chief of Staff, and a long-time member of Congress.
  • D. Michael Froman
    Michael Froman is an American lawyer and trade official who served as the U.S. Trade Representative under President Barack Obama.
  • E. Sam Leavitt
    Sam Leavitt was an American cinematographer known for his work on numerous Hollywood films, including several acclaimed mid-20th-century productions.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69c68a51564081909e93aee0dbd9cca3 completed March 27, 2026, 1:46 p.m.
NER Named-entity recognition batch_69c6add9036081908917ff27ceed1038 completed March 27, 2026, 4:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6d541f25081909a4b218fd38718c6 completed March 27, 2026, 7:06 p.m.
Created at: March 27, 2026, 1:50 p.m.