Triple

T11239644
Position Surface form Disambiguated ID Type / Status
Subject The Shape of Water E266035 entity
Predicate producer P490 FINISHED
Object J. Miles Dale E266035 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: J. Miles Dale | Statement: [The Shape of Water, producer, J. Miles Dale]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: J. Miles Dale
Context triple: [The Shape of Water, producer, J. Miles Dale]
  • A. J. Miles Dale chosen
    J. Miles Dale is a Canadian film and television producer best known for his Academy Award–winning work on Guillermo del Toro's fantasy romance film "The Shape of Water."
  • B. John Diehl
    John Diehl is an American character actor best known for his role as Detective Larry Zito on the 1980s television series "Miami Vice."
  • C. Dale Eunson
    Dale Eunson was an American writer and magazine editor best known for his short stories and screenwriting work in mid-20th-century Hollywood.
  • D. Dale Van Harlingen
    Dale Van Harlingen is an American experimental physicist known for his influential work on superconductivity and quantum materials at the University of Illinois at Urbana–Champaign.
  • E. 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.
  • 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_69d6aac656d48190b275efaa7d6074ee completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e918375081908c2a7ccb50cbf331 completed April 9, 2026, 5:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5b795f7948190a0dd53e8e034fe58 completed April 20, 2026, 5:20 a.m.
Created at: April 8, 2026, 9:30 p.m.