Triple

T13579254
Position Surface form Disambiguated ID Type / Status
Subject Rose Lavelle E324367 entity
Predicate playsWithFoot P9611 FINISHED
Object left foot 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 foot | Statement: [Rose Lavelle, playsWithFoot, left foot]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: playsWithFoot
Context triple: [Rose Lavelle, playsWithFoot, left foot]
  • A. playsAssociationFootballIn
    Indicates that an entity participates in playing association football (soccer) within or for a specified place, organization, or context.
  • B. playsWith
    Indicates that one entity engages in play or recreational activity together with another entity.
  • C. playedAssociationFootball
    Indicates that an entity has participated in playing the sport of association football (soccer).
  • D. preferredFoot chosen
    Indicates which foot an entity predominantly uses or favors, especially for actions like kicking or stepping.
  • E. playsAssociationFootballUnderRulesOf
    Indicates that one entity participates in association football following the rules or regulations established by another entity.
  • 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_69d80769100c819099111274614f5ed2 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbb03052088190a2b68c106059828e completed April 12, 2026, 2:46 p.m.
PD Predicate disambiguation batch_69dbae161a0481909f9d3f40ca4e0ac5 completed April 12, 2026, 2:37 p.m.
Created at: April 9, 2026, 9:48 p.m.