Triple

T3017553
Position Surface form Disambiguated ID Type / Status
Subject Four Daughters E82373 entity
Predicate director P255 FINISHED
Object Michael Curtiz E48302 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: Michael Curtiz | Statement: [Four Daughters, director, Michael Curtiz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michael Curtiz
Context triple: [Four Daughters, director, Michael Curtiz]
  • A. Michael Curtiz chosen
    Michael Curtiz was a Hungarian-American film director best known for helming classic Hollywood films such as "Casablanca."
  • 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. Charles Vidor
    Charles Vidor was a Hungarian-American film director best known for classic Hollywood movies such as "Gilda" and other major studio productions of the 1940s and 1950s.
  • D. 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."
  • E. Joseph L. Mankiewicz
    Joseph L. Mankiewicz was an acclaimed American screenwriter, producer, and director known for his sophisticated, dialogue-driven films and multiple Academy Awards, including those for writing and directing.
  • 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_69ad8b1eb53481908c39bbcd1ec104b2 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad9a90ea64819080620e60bbd6aa24 completed March 8, 2026, 3:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69b224b2157881908d278be87bec5315 completed March 12, 2026, 2:28 a.m.
Created at: March 8, 2026, 3 p.m.