Triple

T12969731
Position Surface form Disambiguated ID Type / Status
Subject Nadine Tolliver E321360 entity
Predicate partOfFictionalUniverse P3758 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: [Nadine Tolliver, partOfFictionalUniverse, Madam Secretary]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Madam Secretary
Context triple: [Nadine Tolliver, partOfFictionalUniverse, 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 style used to address a female Secretary of State in California.
  • C. Madam Secretary
    "Madam Secretary" is the formal style of address used when speaking to or about a female United States Secretary of the Army.
  • D. Madam Secretary
    "Madam Secretary" is the formal honorific used to address a woman serving as the United States Secretary of State.
  • E. 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.
  • 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_69d80763bd6c819094437da5b20b01d2 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d97e407e5081909424fc0c22483c28 completed April 10, 2026, 10:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6c0f4798c8190861638c699e98045 completed May 3, 2026, 3:28 a.m.
Created at: April 9, 2026, 8:34 p.m.