Triple

T22660120
Position Surface form Disambiguated ID Type / Status
Subject Mandy Gonzalez E559638 entity
Predicate performedIn P795 FINISHED
Object Madam Secretary NE NERFINISHED

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: [Mandy Gonzalez, performedIn, Madam Secretary]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Madam Secretary
Context triple: [Mandy Gonzalez, performedIn, Madam Secretary]
  • A. Madam Secretary
    "Madam Secretary" is the formal honorific used to address a woman serving as the United States Secretary of State.
  • B. 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.
  • C. Madam Secretary
    Madam Secretary is the formal honorific used to address a woman serving as a cabinet-level secretary in the United States government.
  • D. Madam Secretary
    "Madam Secretary" is the formal honorific style used to address a female Secretary of State in California.
  • 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 (2 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_69e2454a158c819093b8e35f5045efb6 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1765edf88819086c28525e3c73758 completed April 29, 2026, 3:09 a.m.
Created at: April 17, 2026, 3:07 p.m.