Triple

T9079984
Position Surface form Disambiguated ID Type / Status
Subject León E217591 entity
Predicate hasPlayingStyleReputation P3775 FINISHED
Object offensive and technical football 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: offensive and technical football | Statement: [León, hasPlayingStyleReputation, offensive and technical football]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasPlayingStyleReputation
Context triple: [León, hasPlayingStyleReputation, offensive and technical football]
  • A. styleOfPlay chosen
    Indicates the characteristic manner or approach in which an entity performs or behaves, especially in a game, sport, or artistic context.
  • B. hasQuirkyReputation
    Indicates that an entity is regarded by others as having an unusual, eccentric, or unconventional character or style.
  • C. hasMusicalStyleCharacteristic
    Indicates that something possesses or exhibits a particular musical style as a defining characteristic.
  • D. performanceStyle
    Indicates the manner or style in which an action, work, or performance is carried out or presented.
  • E. hasGuitarStyle
    Indicates that an entity is associated with, characterized by, or performs using a particular style of guitar playing.
  • 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_69ca83d7a0388190ba1af89ed7ba36f9 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc9607942c8190a21620892ce3cbe5 completed April 1, 2026, 3:50 a.m.
PD Predicate disambiguation batch_69cc65fa79bc81908b46f05c8bba920f completed April 1, 2026, 12:25 a.m.
Created at: March 30, 2026, 7:13 p.m.