Triple

T31132856
Position Surface form Disambiguated ID Type / Status
Subject William J. Tuttle E793556 entity
Predicate hasPartInCreativeWorkRole P126607 FINISHED
Object head of makeup department at MGM 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: head of makeup department at MGM | Statement: [William J. Tuttle, hasPartInCreativeWorkRole, head of makeup department at MGM]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasPartInCreativeWorkRole
Context triple: [William J. Tuttle, hasPartInCreativeWorkRole, head of makeup department at MGM]
  • A. has part in role
    Indicates that an entity participates as a component or constituent specifically in a defined role within a larger whole or process.
  • B. compositionalRole
    Indicates that one entity serves as a constituent or component within the structure, function, or meaning of another entity.
  • C. hasPartInCreativeOutput chosen
    Indicates that an entity contributed a component, role, or involvement to the creation or production of a particular creative work.
  • D. workAttributedInPartTo
    Indicates that the creation, outcome, or result is partially credited to the work or contribution of another entity.
  • E. artifactRole
    Indicates the specific function, purpose, or responsibility that an artifact has within a particular context or activity.
  • 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_69f224d1701c819094f429798290e361 completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69fe87b609888190913b0c3f787ecdba completed May 9, 2026, 1:02 a.m.
PD Predicate disambiguation batch_69fe8731af48819092084f6f74bf052d completed May 9, 2026, 1 a.m.
Created at: April 29, 2026, 9:05 p.m.