Triple

T19749068
Position Surface form Disambiguated ID Type / Status
Subject Charlie Williams E474327 entity
Predicate ballGameRole P100032 FINISHED
Object backcourt scorer 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: backcourt scorer | Statement: [Charlie Williams, ballGameRole, backcourt scorer]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: ballGameRole
Context triple: [Charlie Williams, ballGameRole, backcourt scorer]
  • A. ballGameType
    Indicates the specific kind or category of ball game associated with an event or activity.
  • B. roleInGameplay chosen
    Indicates the specific function or responsibility an entity has within the context of gameplay or game mechanics.
  • C. roleInDiceGame
    Indicates the specific function or position an entity holds within the context of a dice game (e.g., shooter, dealer, scorer).
  • D. homeGameRole
    Indicates that an entity participates in a game or match specifically in the role of the home side or host team.
  • E. playRoleIn
    Indicates that an entity participates in or performs a specific function, character, or part within an event, context, or system.
  • 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_69d8e51940a0819087bd2996f98da668 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65296fa80819085aa4a18153531cf completed April 20, 2026, 4:21 p.m.
PD Predicate disambiguation batch_69e5305016e08190b9561a96baecb0b8 completed April 19, 2026, 7:43 p.m.
Created at: April 10, 2026, 1:47 p.m.