Triple

T5589872
Position Surface form Disambiguated ID Type / Status
Subject Studebaker (as design consultant) E146847 entity
Predicate consultantRole P13956 FINISHED
Object styling direction 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: styling direction | Statement: [Studebaker (as design consultant), consultantRole, styling direction]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: consultantRole
Context triple: [Studebaker (as design consultant), consultantRole, styling direction]
  • A. roleInIndustry
    Indicates the specific function, position, or capacity an entity holds within a particular industry or sector.
  • B. laborMarketRole
    Indicates the role, function, or position an entity holds within the labor market, such as its job type, employment status, or economic participation category.
  • C. commercialRole
    Indicates that an entity holds a position or function related to commercial activities, such as sales, marketing, or business development, in relation to another entity.
  • D. consultsOn chosen
    Indicates that one entity provides expert advice, guidance, or professional input to another entity regarding a specific subject, project, or decision.
  • E. employedRole
    Indicates that an entity holds or performs a specific role or position within an employment or work context.
  • 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_69c009036c408190981a8d690b679b67 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c0209ff5d88190843b6d134390ab71 completed March 22, 2026, 5:02 p.m.
PD Predicate disambiguation batch_69c01b16b9bc8190ab0b945507d90e05 completed March 22, 2026, 4:38 p.m.
Created at: March 22, 2026, 3:38 p.m.