Triple

T35806677
Position Surface form Disambiguated ID Type / Status
Subject Old School E1035118 entity
Predicate usesPartOfBody P27648 FINISHED
Object opponent’s arm 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: opponent’s arm | Statement: [Old School, usesPartOfBody, opponent’s arm]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: usesPartOfBody
Context triple: [Old School, usesPartOfBody, opponent’s arm]
  • A. usesBodyPart chosen
    Indicates that an entity performs an action or function by employing a specific body part as a means or tool.
  • B. isPartOfBody
    Indicates that something forms a physical component or anatomical segment of a living body.
  • C. partOfBodyWith
    Indicates that one entity is a body part that belongs to, or is physically contained within, another entity.
  • D. bodyPartsGiveRiseTo
    Indicates that certain body parts develop into, generate, or are the source of other anatomical structures or tissues.
  • E. hasBodyRegion
    Indicates that an entity possesses, includes, or is associated with a specific anatomical or bodily region.
  • 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_69f76e1762408190b885a8456862e372 completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69fcf1b3d9a08190850b388308656266 completed May 7, 2026, 8:10 p.m.
PD Predicate disambiguation batch_69fcf0226d8c8190b23dceafb1794995 completed May 7, 2026, 8:03 p.m.
Created at: May 3, 2026, 4:06 p.m.