Triple

T58419
Position Surface form Disambiguated ID Type / Status
Subject Mr. President E1156 entity
Predicate hasAlternativeForm P455 FINISHED
Object Madam President E1667 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 President | Statement: [Mr. President, hasAlternativeForm, Madam President]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Madam President
Context triple: [Mr. President, hasAlternativeForm, Madam President]
  • A. Madam President chosen
    "Madam President" is the formal style of address used for a female President of the United States.
  • B. Madam Speaker
    "Madam Speaker" is the formal mode of address used for a woman serving as Speaker of the United States House of Representatives.
  • C. Mr. President
    "Mr. President" is the formal spoken address traditionally used for the sitting President of the United States.
  • D. Madam Secretary
    "Madam Secretary" is the formal style of address used when speaking to or about a female United States Secretary of the Army.
  • E. Madam Secretary
    "Madam Secretary" is the formal honorific used to address a woman serving as the United States Secretary of State.
  • 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_69a248adc5b48190aa8db9fb092fb28a completed Feb. 28, 2026, 1:45 a.m.
NER Named-entity recognition batch_69a24ec4d84c81908d85a1e941dbcd19 completed Feb. 28, 2026, 2:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69a266e716048190a57f681fccb4fdeb completed Feb. 28, 2026, 3:54 a.m.
Created at: Feb. 28, 2026, 1:50 a.m.