Triple

T178469
Position Surface form Disambiguated ID Type / Status
Subject Mister Speaker E3628 entity
Predicate contrastsWith P278 FINISHED
Object Madam Speaker E4551 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 Speaker | Statement: [Mister Speaker, contrastsWith, Madam Speaker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Madam Speaker
Context triple: [Mister Speaker, contrastsWith, Madam Speaker]
  • A. Madam Speaker chosen
    "Madam Speaker" is the formal mode of address used for a woman serving as Speaker of the United States House of Representatives.
  • B. Madam President
    "Madam President" is the formal style of address used for a female President of the United States.
  • C. Mister Speaker
    Mister Speaker is the traditional formal address used for a male Speaker presiding over the United States House of Representatives.
  • D. Madam Vice President
    "Madam Vice President" is the formal mode of address used for a woman serving as Vice President of the United States.
  • E. The Politician
    The Politician is a 17th-century stage play by English dramatist James Shirley, known as one of his notable tragic works exploring court intrigue and moral corruption.
  • 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_69a25374990081909766d30c79a18e0e completed Feb. 28, 2026, 2:31 a.m.
NER Named-entity recognition batch_69a258fe7bb08190a56f4a54cadd2fef completed Feb. 28, 2026, 2:54 a.m.
NED1 Entity disambiguation (via context triple) batch_69a2fa7c7a288190bc547d5e7010732b completed Feb. 28, 2026, 2:23 p.m.
Created at: Feb. 28, 2026, 2:39 a.m.