Triple

T1015457
Position Surface form Disambiguated ID Type / Status
Subject Madam Secretary E21919 entity
Predicate correspondingMaleForm P15994 FINISHED
Object Mister Secretary E19189 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: Mister Secretary | Statement: [Madam Secretary, correspondingMaleForm, Mister Secretary]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mister Secretary
Context triple: [Madam Secretary, correspondingMaleForm, Mister Secretary]
  • A. Mister Secretary chosen
    Mister Secretary is a gender-reversed counterpart concept to the political drama series "Madam Secretary," imagining a male lead in a similar high-level government role.
  • B. Mr. Secretary
    Mr. Secretary is the formal style of address traditionally used for the United States Secretary of Defense.
  • C. Mr. Secretary
    "Mr. Secretary" is the traditional formal style of address used for the United States Secretary of the Treasury.
  • D. Mr. Secretary
    "Mr. Secretary" is the formal style of address traditionally used for the United States Secretary of Transportation.
  • E. Mr. Secretary
    "Mr. Secretary" is the formal style of address traditionally used for the United States Secretary of Health and Human Services.
  • 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_69a493c68e24819080ed0ee8bcfd5ce0 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b7c05060819083c51717874074c8 completed March 1, 2026, 10:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac3baf80348190b6909cbd1fd40cb4 completed March 7, 2026, 2:52 p.m.
Created at: March 1, 2026, 7:41 p.m.