Triple

T13329226
Position Surface form Disambiguated ID Type / Status
Subject Bessie Coleman E317525 entity
Predicate familyName P18 FINISHED
Object Coleman E921783 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: Coleman | Statement: [Bessie Coleman, familyName, Coleman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Coleman
Context triple: [Bessie Coleman, familyName, Coleman]
  • A. Coleman
    Coleman is a well-known outdoor recreation brand recognized for its camping gear, including tents, coolers, lanterns, and portable stoves.
  • B. Coleman
    Coleman is a given name most famously associated with American jazz saxophonist Coleman Hawkins, a pioneering figure in the development of the tenor saxophone in jazz.
  • C. Coleman chosen
    Coleman is an English-language surname borne by numerous notable individuals across fields such as sports, entertainment, politics, and academia.
  • D. Coleman Company
    Coleman Company is an American manufacturer best known for its outdoor recreation products such as camping gear, lanterns, and coolers.
  • E. Stilson
    Stilson is a given name most notably borne by Stilson Hutchins, the American newspaper publisher who founded The Washington Post.
  • 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_69d806b4d62c81908d4ced1665414be5 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d9992e4f908190a6f172bf910cffb8 completed April 11, 2026, 12:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69f71f329e148190a7741344b27ea663 completed May 3, 2026, 10:10 a.m.
Created at: April 9, 2026, 9:30 p.m.