Triple

T19623333
Position Surface form Disambiguated ID Type / Status
Subject Ethan Peck E471068 entity
Predicate appearedIn P795 FINISHED
Object Madame 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: Madame Secretary | Statement: [Ethan Peck, appearedIn, Madame Secretary]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Madame Secretary
Context triple: [Ethan Peck, appearedIn, Madame Secretary]
  • A. Madame Secretary chosen
    Madame 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.
  • 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
    "Madam Secretary" is the formal honorific style used to address a female Secretary of State in California.
  • D. 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.
  • 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 (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_69d8e510fa248190b7afb274a1d4cf73 completed April 10, 2026, 11:54 a.m.
NER Named-entity recognition batch_69e640e8695c81909268c5a91cdbb7fa completed April 20, 2026, 3:06 p.m.
Created at: April 10, 2026, 1:44 p.m.