Triple

T11734977
Position Surface form Disambiguated ID Type / Status
Subject MLS Goalkeeper of the Year Award E279001 entity
Predicate hasRecipient P108 FINISHED
Object Brad Guzan E231868 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: Brad Guzan | Statement: [MLS Goalkeeper of the Year Award, hasRecipient, Brad Guzan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brad Guzan
Context triple: [MLS Goalkeeper of the Year Award, hasRecipient, Brad Guzan]
  • A. Brad Guzan chosen
    Brad Guzan is an American professional soccer goalkeeper known for his long MLS career and for representing the United States national team, including at multiple major international tournaments.
  • B. Tim Howard
    Tim Howard is an American former professional soccer goalkeeper best known for his long career with the U.S. Men’s National Team and clubs including Everton in the English Premier League.
  • C. Marcus Gerber
    Marcus Gerber is a fictional character from the film "Burlesque."
  • D. Stefan Frei
    Stefan Frei is a Swiss-American professional soccer goalkeeper best known for his standout performances with Seattle Sounders FC in Major League Soccer.
  • E. Matt Turner
    Matt Turner is an American professional soccer goalkeeper known for his standout performances in Major League Soccer and for representing the United States national team.
  • 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_69d6aaffec6881908bead509e8621742 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a4edced48190b7a59dd45921828e completed April 10, 2026, 7:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69f0901a6ed481909054ddd581935ac4 completed April 28, 2026, 10:46 a.m.
Created at: April 8, 2026, 9:41 p.m.