Triple

T13909751
Position Surface form Disambiguated ID Type / Status
Subject Henry McCord E334456 entity
Predicate appearsIn P795 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: [Henry McCord, appearsIn, Madam Secretary]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Madam Secretary
Context triple: [Henry McCord, appearsIn, Madam Secretary]
  • A. Madam Secretary
    "Madam Secretary" is the formal style of address used when speaking to or about a female United States Secretary of the Army.
  • B. Madam Secretary
    "Madam Secretary" is the formal honorific used to address a woman serving as the United States Secretary of State.
  • C. Madam Secretary
    "Madam Secretary" is the formal honorific style used to address a female Secretary of State in California.
  • D. 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.
  • E. 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.
  • 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_69d81c5eaa9c819083b1ff8689179565 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2721ec6c8190888f4a9d004eb8e0 completed April 14, 2026, 11:38 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7c726b7388190b557f4c41622460d completed May 3, 2026, 10:07 p.m.
Created at: April 9, 2026, 10:16 p.m.