Triple

T37515185
Position Surface form Disambiguated ID Type / Status
Subject Scion E932615 entity
Predicate playstyleRole P3775 FINISHED
Object generalist 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: generalist | Statement: [Scion, playstyleRole, generalist]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: playstyleRole
Context triple: [Scion, playstyleRole, generalist]
  • A. playstyleBenefit
    Indicates that one playstyle provides an advantage, improvement, or positive effect to a player or entity.
  • B. playsInStyleOf
    Indicates that one entity performs, creates, or behaves in a manner characteristic of another entity’s style.
  • C. styleOfPlay chosen
    Indicates the characteristic manner or approach in which an entity performs or behaves, especially in a game, sport, or artistic context.
  • D. playRoleIn
    Indicates that an entity participates in or performs a specific function, character, or part within an event, context, or system.
  • E. playsAs
    Indicates that one entity performs, portrays, or assumes the role, character, or persona of another entity.
  • 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_69f76ec730988190b5aa4f9cb9afd518 completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69fcc7338120819081cb46547d60f2cb completed May 7, 2026, 5:09 p.m.
PD Predicate disambiguation batch_69fcc58566a0819082d5ea36e03bf0c6 completed May 7, 2026, 5:01 p.m.
Created at: May 3, 2026, 4:17 p.m.