Triple

T589432
Position Surface form Disambiguated ID Type / Status
Subject Natacha Rambova E17233 entity
Predicate workedAt P7 FINISHED
Object Metro Pictures E55678 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: Metro Pictures | Statement: [Natacha Rambova, workedAt, Metro Pictures]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Metro Pictures
Context triple: [Natacha Rambova, workedAt, Metro Pictures]
  • A. Metro Pictures chosen
    Metro Pictures was an early 20th-century American film production and distribution company that later merged into Metro-Goldwyn-Mayer (MGM), helping form one of Hollywood’s major studios.
  • B. Kasdan Pictures
    Kasdan Pictures is a film production company best known for producing the 1992 romantic thriller "The Bodyguard" starring Whitney Houston and Kevin Costner.
  • C. Touchstone Pictures
    Touchstone Pictures is an American film production label of The Walt Disney Company known for releasing more mature and adult-oriented movies than Disney’s main family-friendly brand.
  • D. Dimension Films
    Dimension Films is an American film production and distribution company best known for releasing popular horror and genre franchises such as Scream and Scary Movie.
  • E. MadRiver Pictures
    MadRiver Pictures is a film production company known for financing and producing high-profile, director-driven feature films.
  • 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_69a49379d09c8190ac7e00b24e2810b1 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a49bb775fc819085b968f8615dca59 completed March 1, 2026, 8:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69a5103be4b881908fcd20c4c781c0a0 completed March 2, 2026, 4:21 a.m.
Created at: March 1, 2026, 7:33 p.m.