Triple

T1287796
Position Surface form Disambiguated ID Type / Status
Subject Allan Dwan E27474 entity
Predicate name P16 FINISHED
Object Allan Dwan E27474 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: Allan Dwan | Statement: [Allan Dwan, name, Allan Dwan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Allan Dwan
Context triple: [Allan Dwan, name, Allan Dwan]
  • A. Allan Dwan chosen
    Allan Dwan was a pioneering Canadian-born American film director and producer whose prolific career spanned the silent and early sound eras of Hollywood cinema.
  • B. Mervyn LeRoy
    Mervyn LeRoy was an American film director and producer known for his influential work in classic Hollywood cinema, including a key role in bringing "The Wizard of Oz" to the screen.
  • C. Lloyd Bacon
    Lloyd Bacon was an American film director and actor best known for his prolific work in Hollywood during the 1920s–1940s, including numerous musicals and comedies for Warner Bros.
  • D. Rex Ingram
    Rex Ingram was a prominent Irish-American silent film director of the early 20th century, known for his visually innovative and epic productions in Hollywood.
  • E. George Sidney
    George Sidney was an American film director best known for his lavish MGM musicals and comedies during Hollywood’s Golden Age, including classics like "Anchors Aweigh" and "Show Boat."
  • 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_69a496d4ec448190ad653b2590c46711 completed March 1, 2026, 7:43 p.m.
NER Named-entity recognition batch_69a4c0d1a5508190b4461df77f560df4 completed March 1, 2026, 10:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69adeab797c48190a3a2f7313638f594 completed March 8, 2026, 9:31 p.m.
Created at: March 1, 2026, 7:51 p.m.