Triple

T16457579
Position Surface form Disambiguated ID Type / Status
Subject 50/50 E399720 entity
Predicate productionCompany P490 FINISHED
Object Point Grey Pictures E399723 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: Point Grey Pictures | Statement: [50/50, productionCompany, Point Grey Pictures]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Point Grey Pictures
Context triple: [50/50, productionCompany, Point Grey Pictures]
  • A. Point Grey Pictures chosen
    Point Grey Pictures is a film and television production company known for creating popular comedy projects, co-founded by actor and filmmaker Seth Rogen.
  • B. Surefire Film Productions
    Surefire Film Productions is a film production company best known for producing the 2005 Australian Western crime drama "The Proposition."
  • C. Aviron Pictures
    Aviron Pictures is an American independent film distribution company known for releasing mid-budget genre and thriller films.
  • D. MadRiver Pictures
    MadRiver Pictures is a film production company known for financing and producing high-profile, director-driven feature films.
  • E. Raindog Films
    Raindog Films is a British film production company co-founded by musician Peter Gabriel, known for producing socially conscious and politically themed films such as "Eye in the Sky."
  • 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_69d87f2dac988190b74d6e185fa88ba4 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e32d7ef5cc819084cfeb1a3e39d3cc completed April 18, 2026, 7:06 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00679d15b08190b4e70e4337bff88d completed May 10, 2026, 11:10 a.m.
Created at: April 10, 2026, 5:10 a.m.