Triple

T449024
Position Surface form Disambiguated ID Type / Status
Subject Mr. Secretary E7085 entity
Predicate hasAlternativeForm P455 FINISHED
Object Madam Secretary E21919 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: [Mr. Secretary, hasAlternativeForm, Madam Secretary]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Madam Secretary
Context triple: [Mr. Secretary, hasAlternativeForm, 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 chosen
    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 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 President
    "Madam President" is the formal style of address used for a female President of the United States.
  • 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_69a2e7e4676c81909ea0dbdecac0687c completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2ef6755a08190a057e72279b70456 completed Feb. 28, 2026, 1:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69a447ff88c0819091062bfcdc09f7c1 completed March 1, 2026, 2:06 p.m.
Created at: Feb. 28, 2026, 1:12 p.m.