Triple

T1150727
Position Surface form Disambiguated ID Type / Status
Subject MLS Cup 2000 E23669 entity
Predicate notablePlayer P304 FINISHED
Object Tony Meola E190770 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: Tony Meola | Statement: [MLS Cup 2000, notablePlayer, Tony Meola]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tony Meola
Context triple: [MLS Cup 2000, notablePlayer, Tony Meola]
  • A. Tony Meola chosen
    Tony Meola is a former American soccer goalkeeper best known for starring with the U.S. national team in the 1990 and 1994 World Cups and for his standout career in Major League Soccer.
  • B. Tom Lofaro
    Tom Lofaro is a television producer best known for his executive production work on the long-running comedy series "It's Always Sunny in Philadelphia."
  • C. Dan Iassogna
    Dan Iassogna is a veteran Major League Baseball umpire who has officiated numerous postseason games, including serving as crew chief in the World Series.
  • D. Don Granato
    Don Granato is an American professional ice hockey coach known for leading the NHL’s Buffalo Sabres and for his extensive development work with young players.
  • E. Paul Merolla
    Paul Merolla is a neuroscientist and engineer best known as a co-founder of Neuralink, the neurotechnology company developing brain–computer interfaces.
  • 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_69a493f0d32c8190ac74bad3c87f2641 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4bc744e7c81908f8612f2aad28600 completed March 1, 2026, 10:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad8a9f91808190b44715dc3df31cc3 completed March 8, 2026, 2:41 p.m.
Created at: March 1, 2026, 7:44 p.m.