Triple

T19320019
Position Surface form Disambiguated ID Type / Status
Subject Mr. President E483196 entity
Predicate hasCounterpart P6587 FINISHED
Object Madam Speaker NE NERFINISHED

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: [Mr. President, hasCounterpart, Madam Speaker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Madam Speaker
Context triple: [Mr. President, hasCounterpart, 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 Vice Speaker
    Madam Vice Speaker is the formal honorific used to address the female holder of the Vice Speaker position in Japan’s House of Representatives.
  • C. Madam President
    Madam President is an honorific title used for a female head of state or government, notably associated with Indonesia’s former president Megawati Sukarnoputri.
  • D. Madam President
    Madam President is the formal title used for Seraphina Picquery, the witch who serves as President of the Magical Congress of the United States of America in the Harry Potter universe.
  • E. Madam President
    Madam President is the formal style of address used for a woman serving as President of the Senate of the Parliament of the Czech Republic.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e8d13e3c81909d91d1d5ec37c095 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e60d87a0088190a60201b1f388089e completed April 20, 2026, 11:27 a.m.
Created at: April 10, 2026, 1:32 p.m.