Triple

T5221793
Position Surface form Disambiguated ID Type / Status
Subject Sebastian Giovinco E117885 entity
Predicate individualAward P11 FINISHED
Object MLS Golden Boot E181684 NE 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: MLS Golden Boot | Statement: [Sebastian Giovinco, individualAward, MLS Golden Boot]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MLS Golden Boot
Context triple: [Sebastian Giovinco, individualAward, MLS Golden Boot]
  • A. MLS Golden Boot chosen
    The MLS Golden Boot is Major League Soccer’s annual award given to the league’s top goal scorer in the regular season.
  • B. Golden Boot
    The Golden Boot is a football award given to the top goal scorer at major tournaments, including the FIFA Club World Cup.
  • C. Golden Boot Award
    The Golden Boot Award is an international rugby league honor presented annually to the player judged to be the best in the world.
  • D. Golden Boot Award
    The Golden Boot Award is an honor recognizing significant contributions to the Western genre in film and television, often awarded to actors, directors, and other industry figures.
  • E. FIFA Club World Cup Golden Boot
    The FIFA Club World Cup Golden Boot is an annual football award given to the top goal scorer at the FIFA Club World Cup tournament.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69bd4465e03081909bfcfd7113062590 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7aba05b48190b6a7fc52ab3532f0 completed March 20, 2026, 4:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69beeff49d708190a042dfab473a9646 completed March 21, 2026, 7:22 p.m.
Created at: March 20, 2026, 1:48 p.m.