Triple

T2091728
Position Surface form Disambiguated ID Type / Status
Subject Secretary of State of California E32684 entity
Predicate style P87 FINISHED
Object Mister Secretary E1319 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: [Secretary of State of California, style, Mister Secretary]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mister Secretary
Context triple: [Secretary of State of California, style, Mister Secretary]
  • A. Mister Secretary
    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 chosen
    Mr. Secretary is the formal style of address traditionally used for the United States Secretary of Defense.
  • C. Mr. Secretary
    "Mr. Secretary" is the formal style of address traditionally used for the United States Secretary of Transportation.
  • D. Mr. Secretary
    "Mr. Secretary" is the formal style of address traditionally used for the United States Secretary of State.
  • E. Mr. Secretary
    "Mr. Secretary" is the traditional formal style of address used for the United States Secretary of the Treasury.
  • 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_69a885eba0708190999696a45cbec816 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69abba7626d081908c9c0f18942e128d completed March 7, 2026, 5:41 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae2746fb3481909e0b7fdbd4748245 completed March 9, 2026, 1:49 a.m.
Created at: March 4, 2026, 7:43 p.m.