Triple

T1600405
Position Surface form Disambiguated ID Type / Status
Subject Dwayne De Rosario E34377 entity
Predicate awardReceived 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: [Dwayne De Rosario, awardReceived, MLS Golden Boot]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MLS Golden Boot
Context triple: [Dwayne De Rosario, awardReceived, 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. European Golden Shoe
    The European Golden Shoe is an annual football award presented to the top goal scorer in league matches across all European top-division competitions.
  • D. Pichichi Trophy
    The Pichichi Trophy is an annual award given by the Spanish sports newspaper Marca to the top goalscorer in each La Liga season.
  • E. MLS Cup MVP
    The MLS Cup MVP is an annual award given to the most outstanding player in Major League Soccer's championship match.
  • 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_69a885fdcb9c819081ce6f0b8cd477dd completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a9094a27908190bf0d9b5d43617192 completed March 5, 2026, 4:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad51b9c6588190810ede38d9e714e2 completed March 8, 2026, 10:38 a.m.
Created at: March 4, 2026, 7:28 p.m.