Triple

T11979733
Position Surface form Disambiguated ID Type / Status
Subject Gyasi E285125 entity
Predicate notableBearer P458 FINISHED
Object Gyasi Zardes E53793 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: Gyasi Zardes | Statement: [Gyasi, notableBearer, Gyasi Zardes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gyasi Zardes
Context triple: [Gyasi, notableBearer, Gyasi Zardes]
  • A. Gyasi Zardes chosen
    Gyasi Zardes is an American professional soccer forward known for his time with the LA Galaxy in Major League Soccer and for representing the United States national team.
  • B. Jozy Altidore
    Jozy Altidore is an American professional soccer forward known for his powerful play, prolific scoring for the U.S. national team, and successful club career in Major League Soccer and Europe.
  • C. Greg Vanney
    Greg Vanney is an American former professional soccer defender and current coach and executive in Major League Soccer.
  • D. Alexi Lalas
    Alexi Lalas is a former American soccer defender best known for his standout performance in the 1994 FIFA World Cup and his pioneering role as one of the first high-profile U.S. players in Serie A and Major League Soccer.
  • E. Tyler Bates
    Tyler Bates is an American composer best known for his dynamic film and television scores, including work on action franchises like John Wick and superhero films such as Guardians of the Galaxy.
  • 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_69d6ab2eaeb881909f7914758f859413 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d90393cfb08190b5b45d3e5e32fad3 completed April 10, 2026, 2:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69f47209bd088190bf4c7687c0a5eed6 completed May 1, 2026, 9:27 a.m.
Created at: April 8, 2026, 9:46 p.m.