Triple

T12631789
Position Surface form Disambiguated ID Type / Status
Subject Play Misty for Me E301660 entity
Predicate producer P490 FINISHED
Object Robert Daley E670559 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: Robert Daley | Statement: [Play Misty for Me, producer, Robert Daley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Robert Daley
Context triple: [Play Misty for Me, producer, Robert Daley]
  • A. Robert Daley chosen
    Robert Daley is an American film producer best known for his longtime collaboration with Clint Eastwood on numerous movies throughout the 1970s and 1980s.
  • B. Robert Daley
    Robert Daley is best known as the father of British Olympic diver Tom Daley.
  • C. William Howard Thompson
    William Howard Thompson was an American politician who served as a U.S. Senator from Kansas in the early 20th century.
  • D. John P. Jackson
    John P. Jackson is an American physicist and leading Shroud of Turin researcher who co-founded and led the Shroud of Turin Research Project (STURP), becoming one of the most prominent scientific voices on the relic.
  • E. Roger Smith
    Roger Smith was an American actor and talent manager best known for starring in the TV series "77 Sunset Strip" and later managing the career of his wife, Ann-Margret.
  • 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_69d7bdec9f9c8190b4bac675b7588211 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9610e4f408190946f37325d69375c completed April 10, 2026, 8:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6719886708190823f6f7e94e4d199 completed May 2, 2026, 9:50 p.m.
Created at: April 9, 2026, 5:15 p.m.