Triple

T24956263
Position Surface form Disambiguated ID Type / Status
Subject Grindfather E624479 entity
Predicate attitudeTowardGame P27747 FINISHED
Object serious 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: serious | Statement: [Grindfather, attitudeTowardGame, serious]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: attitudeTowardGame
Context triple: [Grindfather, attitudeTowardGame, serious]
  • A. attitudeTowardLove
    Indicates an entity’s feelings, beliefs, or stance regarding the concept or experience of love.
  • B. videoGameReputation
    Indicates the reputation or standing an entity has within the context of video games, based on how it is perceived, rated, or regarded in that domain.
  • C. hasUserAttitude chosen
    Indicates that one entity holds a particular attitude, opinion, or evaluative stance toward another entity or subject.
  • D. attitudeToRa’y
    Indicates the nature or stance of one entity’s attitude, opinion, or feeling toward Ra’y.
  • E. cultAttitude
    Indicates the stance, beliefs, or disposition that a cult or cult-like group holds toward a particular entity, idea, or practice.
  • 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_69e2ff23a3a88190b1b9743fe5e15f94 completed April 18, 2026, 3:48 a.m.
NER Named-entity recognition batch_69f424044cf8819092105c93ceba3b9c completed May 1, 2026, 3:54 a.m.
PD Predicate disambiguation batch_69f4210130d08190ae30b7943f7a0bbc completed May 1, 2026, 3:41 a.m.
Created at: April 18, 2026, 5:57 a.m.