Triple

T12422411
Position Surface form Disambiguated ID Type / Status
Subject Erich Bergen E296807 entity
Predicate notableWork P4 FINISHED
Object Madam Secretary E279638 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: Madam Secretary | Statement: [Erich Bergen, notableWork, Madam Secretary]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Madam Secretary
Context triple: [Erich Bergen, notableWork, Madam Secretary]
  • A. Madam Secretary
    "Madam Secretary" is the formal honorific used to address a woman serving in a high-ranking government secretary position, such as the Secretary of the Treasury.
  • B. Madam Secretary
    Madam Secretary is the formal honorific used to address a woman serving as a cabinet-level secretary in the United States government.
  • C. Madam Secretary chosen
    Madam Secretary is an American political drama television series that follows a former CIA analyst turned U.S. Secretary of State as she navigates complex international crises and domestic politics.
  • D. Madam Secretary
    "Madam Secretary" is the formal honorific style used to address a female Secretary of State in California.
  • E. Madam Secretary
    "Madam Secretary" is the formal style of address used when speaking to or about a female United States Secretary of the Army.
  • 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_69d6ada0640c81908c061d7fb3d47786 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94d702b1481909db5f5bed6292ce0 completed April 10, 2026, 7:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6718723bc8190987fa56147712851 completed May 2, 2026, 9:49 p.m.
Created at: April 8, 2026, 9:55 p.m.