Triple

T12017004
Position Surface form Disambiguated ID Type / Status
Subject Gentlemen E286050 entity
Predicate nicknameFor P2937 FINISHED
Object Centenary Gentlemen E286053 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: Centenary Gentlemen | Statement: [Gentlemen, nicknameFor, Centenary Gentlemen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Centenary Gentlemen
Context triple: [Gentlemen, nicknameFor, Centenary Gentlemen]
  • A. Centenary Gentlemen chosen
    The Centenary Gentlemen are the men's athletic teams representing Centenary College of Louisiana in intercollegiate sports.
  • B. Centenary Ladies
    The Centenary Ladies are the women's athletic teams representing Centenary College of Louisiana in intercollegiate sports.
  • C. Old Boys
    Old Boys is the traditional nickname used to refer collectively to former students of Otago Boys' High School.
  • D. Bohemians
    Bohemians are a West Slavic people native to the historical region of Bohemia in the western part of the modern Czech Republic.
  • E. Old Boys Union
    Old Boys Union is the alumni association of Sydney Boys High School, connecting former students through networking, events, and support for the school community.
  • 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_69d6ab45a368819084fce08bf0dc3705 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d903d9b17881908894be80d7c1b64e completed April 10, 2026, 2:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69f48b53cd08819084a9335449844f12 completed May 1, 2026, 11:15 a.m.
Created at: April 8, 2026, 9:47 p.m.