Triple

T1156029
Position Surface form Disambiguated ID Type / Status
Subject Jacques Plante E23783 entity
Predicate shootsCatches P25385 FINISHED
Object Left 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: Left | Statement: [Jacques Plante, shootsCatches, Left]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: shootsCatches
Context triple: [Jacques Plante, shootsCatches, Left]
  • A. shoots
    Indicates that one entity propels a projectile or discharge toward another entity, typically with the intent to hit or affect it.
  • B. catches
    Indicates that one entity successfully seizes, intercepts, or takes hold of another entity, often stopping its motion or preventing its escape.
  • C. captures
    Indicates that one entity seizes, traps, or takes control of another entity, often preventing its escape or freedom.
  • D. shootsAgainst
    Indicates that one entity fires a projectile or weapon in the direction of, or in opposition to, another entity.
  • E. shootingStyle
    Indicates the characteristic manner or technique with which an entity performs a shooting action (e.g., in sports or photography).
  • F. None of above. chosen

Provenance (4 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_69a493f0d32c8190ac74bad3c87f2641 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4bc912300819084c9c69783055a70 completed March 1, 2026, 10:24 p.m.
PD Predicate disambiguation batch_69a4bb50d19c81908a98dbbb04a8906f completed March 1, 2026, 10:18 p.m.
PDg Predicate description generation batch_69a4bc47fce48190825d3a877251f789 completed March 1, 2026, 10:23 p.m.
Created at: March 1, 2026, 7:44 p.m.