Triple

T13709512
Position Surface form Disambiguated ID Type / Status
Subject Bull Durham E328732 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. Steven Brooks
    Steven Brooks is a relatively common personal name shared by multiple individuals across fields such as politics, sports, and academia.
  • C. Al McWhiggin
    Al McWhiggin is the greedy toy collector and antagonist in Pixar's animated film "Toy Story 2," known for stealing Woody to complete a valuable toy set.
  • D. Charles Shyer
    Charles Shyer is an American filmmaker best known for directing and co-writing popular romantic comedies such as "Father of the Bride" and "Baby Boom."
  • E. Ray Snyder
    Ray Snyder was a film editor known for his work on early 20th-century serials such as "The Hurricane Express."
  • 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_69d80770b9bc81909f70c8c317d53cff completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dd43949e6c8190ae5e4fa119cde33a completed April 13, 2026, 7:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7a845a29c81908096a785f5af5521 completed May 3, 2026, 7:55 p.m.
Created at: April 9, 2026, 9:54 p.m.