Triple

T715128
Position Surface form Disambiguated ID Type / Status
Subject Mr. Vice President E14295 entity
Predicate relatedTo P37 FINISHED
Object Madam Vice President E13300 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 Vice President | Statement: [Mr. Vice President, relatedTo, Madam Vice President]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Madam Vice President
Context triple: [Mr. Vice President, relatedTo, Madam Vice President]
  • A. Madam Vice President chosen
    "Madam Vice President" is the formal mode of address used for a woman serving as Vice President of the United States.
  • B. Madam President
    "Madam President" is the formal style of address used for a female President of the United States.
  • C. Mr. Vice President
    Mr. Vice President is the formal spoken and written title used to address the sitting Vice President of the United States.
  • D. Madam Speaker
    "Madam Speaker" is the formal mode of address used for a woman serving as Speaker of the United States House of Representatives.
  • E. Mr. President
    "Mr. President" is a formal style of address used for the President of Ecuador.
  • 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_69a4934a36e081909e7abef98b898a4e completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a574b4d881908b6d0be386081efd completed March 1, 2026, 8:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69a654dcbb688190ab997a3d31ec729a completed March 3, 2026, 3:26 a.m.
Created at: March 1, 2026, 7:37 p.m.