Triple

T16994863
Position Surface form Disambiguated ID Type / Status
Subject Good Machine E412287 entity
Predicate roleOfJamesSchamus P7374 FINISHED
Object producer 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: producer | Statement: [Good Machine, roleOfJamesSchamus, producer]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: roleOfJamesSchamus
Context triple: [Good Machine, roleOfJamesSchamus, producer]
  • A. directorScreenwriter
    Indicates that the person is both the director and the screenwriter of the same film or audiovisual work.
  • B. TonyGoldwynRole
    Indicates that an entity is a role or character portrayed by Tony Goldwyn.
  • C. executiveProducerOf chosen
    Indicates that one entity serves as the executive producer responsible for overseeing the creation or production of another entity, such as a film, series, or other media work.
  • D. leadActorAlsoProducer
    Indicates that the person who plays the lead acting role in a production also serves as a producer for that same production.
  • E. AlbertBrooksRole
    Indicates that an entity represents a role or character played by Albert Brooks in a work.
  • 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_69d886cb581c8190ab05f4b429c9cd85 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d285f35881908c32b2f27ba7f0ac completed April 18, 2026, 6:50 p.m.
PD Predicate disambiguation batch_69e35d552bc08190af17ef7659e094ef completed April 18, 2026, 10:30 a.m.
Created at: April 10, 2026, 5:32 a.m.