Triple

T37511349
Position Surface form Disambiguated ID Type / Status
Subject Ana Amari E932523 entity
Predicate primaryGameRole P100032 FINISHED
Object healer 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: healer | Statement: [Ana Amari, primaryGameRole, healer]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: primaryGameRole
Context triple: [Ana Amari, primaryGameRole, healer]
  • A. primaryGame
    Indicates that one game is the main or most significant game associated with an entity (such as a person, team, or event) among possibly several games.
  • B. roleInGameplay chosen
    Indicates the specific function or responsibility an entity has within the context of gameplay or game mechanics.
  • C. primaryGameType
    Indicates the main category or type of game with which an entity is primarily associated.
  • D. primaryRoleFor
    Indicates that one entity serves as the main or most important role or function for another entity.
  • E. homeGameRole
    Indicates that an entity participates in a game or match specifically in the role of the home side or host team.
  • 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_6a037c8efcd4819088c2aeead65d93df completed May 12, 2026, 7:16 p.m.
PD Predicate disambiguation batch_6a037a1553e08190bb7424c448cb1f33 completed May 12, 2026, 7:05 p.m.
Created at: May 3, 2026, 4:17 p.m.