Triple

T19559939
Position Surface form Disambiguated ID Type / Status
Subject Mary Sue Coleman E489420 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: [Mary Sue Coleman, familyName, Coleman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Coleman
Context triple: [Mary Sue 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. Colemans Hatch
    Colemans Hatch is a small rural village in East Sussex, England, situated on the edge of Ashdown Forest.
  • 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_69d8e8dc5d8c8190a6d7bd8864f43ca0 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e63f731ae48190ade295c15db7f8ed completed April 20, 2026, 3 p.m.
Created at: April 10, 2026, 1:42 p.m.