Triple

T13498904
Position Surface form Disambiguated ID Type / Status
Subject Arliss Coates E320832 entity
Predicate creator P184 FINISHED
Object Fred Gipson E329308 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: Fred Gipson | Statement: [Arliss Coates, creator, Fred Gipson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fred Gipson
Context triple: [Arliss Coates, creator, Fred Gipson]
  • A. Fred Gipson chosen
    Fred Gipson was an American author best known for writing the classic children's novel "Old Yeller," which was later adapted into a popular Disney film.
  • B. E. Gordon Gee
    E. Gordon Gee is a longtime American university administrator best known for serving multiple terms as president of several major institutions, including West Virginia University, Ohio State University, and Vanderbilt University.
  • C. R. G. Tifft
    R. G. Tifft is an astronomer known for his work on galaxy observations, including the discovery of the Tucana Dwarf Galaxy.
  • D. Erle C. Kenton
    Erle C. Kenton was an American film director best known for his work on early horror and comedy films during Hollywood’s studio era.
  • E. G. B. Royse
    G. B. Royse was an early settler and influential local figure after whom the city of Royse City, Texas, was named.
  • 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_69d807629d6c8190998f1b9bb12d2ed0 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbaf4fab688190bdc746985b0c7338 completed April 12, 2026, 2:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69f75d8e69a08190b74f1fecb07dd6e9 completed May 3, 2026, 2:37 p.m.
Created at: April 9, 2026, 9:43 p.m.