Triple

T30032634
Position Surface form Disambiguated ID Type / Status
Subject Knives Out (film score) E763062 entity
Predicate collaborationNumberWithDirector P95725 FINISHED
Object multiple collaborations with Rian Johnson LITERAL 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: multiple collaborations with Rian Johnson | Statement: [Knives Out (film score), collaborationNumberWithDirector, multiple collaborations with Rian Johnson]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: collaborationNumberWithDirector
Context triple: [Knives Out (film score), collaborationNumberWithDirector, multiple collaborations with Rian Johnson]
  • A. numberOfDirectors
    Indicates the total count of directors associated with a given entity.
  • B. collaborationSize
    Indicates the number of participants involved together in a given collaborative relationship or activity.
  • C. composerCollaborationHistoryWithDirector chosen
    Indicates that a composer has previously worked with a specific director on one or more projects, capturing their history of professional collaboration.
  • D. workedWithDirector
    Indicates that one entity has collaborated professionally with a director on a project or production.
  • E. collaborationOf
    Indicates a relationship in which two or more entities work together jointly toward a shared goal or outcome.
  • F. None of above.

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_69f2246fb2b88190acff36bf7975c8f0 completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f679b10fd881909bd58f996462c258 completed May 2, 2026, 10:24 p.m.
PD Predicate disambiguation batch_69f675ff62c48190a634bbb8896973b9 completed May 2, 2026, 10:09 p.m.
Created at: April 29, 2026, 6:50 p.m.