Triple

T4035174
Position Surface form Disambiguated ID Type / Status
Subject Lady Bird E83810 entity
Predicate productionCompany P490 FINISHED
Object IAC Films E151329 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: IAC Films | Statement: [Lady Bird, productionCompany, IAC Films]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: IAC Films
Context triple: [Lady Bird, productionCompany, IAC Films]
  • A. IAC Films chosen
    IAC Films is an American film and television production company known for backing a range of acclaimed independent and auteur-driven projects.
  • B. Intermedia Films
    Intermedia Films is an independent film production company known for financing and producing a range of international feature films.
  • C. IFC Films
    IFC Films is an American film distribution company known for releasing independent, foreign, and art-house movies in theaters and on video-on-demand platforms.
  • D. See-Saw Films
    See-Saw Films is a British-Australian film and television production company known for acclaimed works such as the Academy Award–winning drama "The King’s Speech."
  • E. Overture Films
    Overture Films was an American independent film production and distribution company active in the late 2000s, known for releasing a range of mid-budget and specialty 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_69aed92f7cf0819098e0539bdcc3767f completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefb11d92481909aaebbc250ff45b9 completed March 9, 2026, 4:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69b556415ebc8190a528c7e22dbf70df completed March 14, 2026, 12:36 p.m.
Created at: March 9, 2026, 3:36 p.m.