Triple

T930492
Position Surface form Disambiguated ID Type / Status
Subject SECVA E20080 entity
Predicate style P87 FINISHED
Object The Honorable E6896 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: The Honorable | Statement: [SECVA, style, The Honorable]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Honorable
Context triple: [SECVA, style, The Honorable]
  • A. The Honorable chosen
    "The Honorable" is a formal style of address used for certain public officials and dignitaries in the United States and other countries.
  • B. The Honorable Gentleman
    "The Honorable Gentleman" is a short story by Achmed Abdullah, known for its twist ending and exploration of honor and moral ambiguity in an Eastern setting.
  • C. Mister Speaker
    Mister Speaker is the traditional formal address used for a male Speaker presiding over the United States House of Representatives.
  • D. Her Excellency
    "Her Excellency" is the formal honorific style used to address certain high-ranking officials and dignitaries, such as the Governor of New South Wales.
  • E. Mr. Secretary
    Mr. Secretary is the formal style of address traditionally used for the United States Secretary of Defense.
  • 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_69a493af3dc48190adb7263e6e445ea1 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4b349b3d0819090c58b4fb60c6a1b completed March 1, 2026, 9:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7ee1108188190a26c73864c697061 completed March 4, 2026, 8:32 a.m.
Created at: March 1, 2026, 7:40 p.m.