Triple

T443214
Position Surface form Disambiguated ID Type / Status
Subject Bull Durham E10158 entity
Predicate writer P1360 FINISHED
Object Ron Shelton E55590 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: Ron Shelton | Statement: [Bull Durham, writer, Ron Shelton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ron Shelton
Context triple: [Bull Durham, writer, Ron Shelton]
  • A. Ron Shelton chosen
    Ron Shelton is an American filmmaker and former minor league baseball player best known for writing and directing sports-themed movies such as "Bull Durham."
  • B. Joe Schoen
    Joe Schoen is an American football executive best known as the general manager who helped lead the New York Giants’ recent roster rebuild and organizational turnaround.
  • C. John F. Hughes
    John F. Hughes is a computer scientist known for his contributions to computer graphics and as a co-author of the influential textbook "Computer Graphics: Principles and Practice."
  • D. Douglas Kirk
    Douglas Kirk is an individual notable enough to be recognized as a prominent bearer of the surname Kirk.
  • E. John Lund
    John Lund was an American film actor active in the 1940s and 1950s, known for his leading and supporting roles in Hollywood comedies and dramas.
  • 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_69a2e8465ef481909655c681b01e2986 completed Feb. 28, 2026, 1:06 p.m.
NER Named-entity recognition batch_69a2ef43e8f88190a5d368add11a38c0 completed Feb. 28, 2026, 1:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69a447fc06288190b74c4047849f615c completed March 1, 2026, 2:06 p.m.
Created at: Feb. 28, 2026, 1:11 p.m.