Triple

T508561
Position Surface form Disambiguated ID Type / Status
Subject President pro tempore of the United States Senate E10554 entity
Predicate styleOfAddress P536 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: [President pro tempore of the United States Senate, styleOfAddress, Madam President]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Madam President
Context triple: [President pro tempore of the United States Senate, styleOfAddress, 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 Vice President
    "Madam Vice President" is the formal mode of address used for a woman serving as Vice President of the United States.
  • C. Madam Speaker
    "Madam Speaker" is the formal mode of address used for a woman serving as Speaker of the United States House of Representatives.
  • D. Mr. President
    "Mr. President" is a formal style of address used for the President of Ecuador.
  • E. Mr. President
    "Mr. President" is the formal style of address used for the presiding officer of the Massachusetts Senate.
  • 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_69a2e848adf881908e5e04f7af030093 completed Feb. 28, 2026, 1:06 p.m.
NER Named-entity recognition batch_69a2f162f3888190b057ad04e40a30e2 completed Feb. 28, 2026, 1:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69a498506418819090190a35e8763982 completed March 1, 2026, 7:49 p.m.
Created at: Feb. 28, 2026, 1:12 p.m.