Triple

T16355874
Position Surface form Disambiguated ID Type / Status
Subject Vanney E397176 entity
Predicate usedBy P260 FINISHED
Object Greg Vanney E90575 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: Greg Vanney | Statement: [Vanney, usedBy, Greg Vanney]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Greg Vanney
Context triple: [Vanney, usedBy, Greg Vanney]
  • A. Greg Vanney chosen
    Greg Vanney is an American former professional soccer defender and current coach and executive in Major League Soccer.
  • 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. Gyasi Zardes
    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.
  • D. Marcus Raboy
    Marcus Raboy is an American music video and film director known for his work with major hip-hop and R&B artists.
  • E. Dwight Gayle
    Dwight Gayle is an English professional footballer known as a prolific striker who has played for clubs including Newcastle United and Crystal Palace.
  • 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_69d87f2778dc8190aa95c7572db127e6 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e2face3a54819099418edd0eecc963 completed April 18, 2026, 3:30 a.m.
NED1 Entity disambiguation (via context triple) batch_6a002dbaacd88190b2c90c5be2832307 completed May 10, 2026, 7:03 a.m.
Created at: April 10, 2026, 5:07 a.m.