Triple

T23370152
Position Surface form Disambiguated ID Type / Status
Subject G. Dep E593447 entity
Predicate familyName P18 FINISHED
Object Coleman 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: Coleman | Statement: [G. Dep, familyName, Coleman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Coleman
Context triple: [G. Dep, 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. Cookman
    Cookman is a surname most notably associated with George Fox Cookman, a prominent 19th-century American Methodist clergyman and abolitionist.
  • 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_69e25d2593c88190bcdf4a716a94ccb2 completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f1a0aff84c8190a5a6bf52adae1c9a completed April 29, 2026, 6:09 a.m.
Created at: April 17, 2026, 5:32 p.m.