Triple

T8872879
Position Surface form Disambiguated ID Type / Status
Subject Tom Gola E211204 entity
Predicate fullName P16 FINISHED
Object Thomas Joseph Gola E211204 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: Thomas Joseph Gola | Statement: [Tom Gola, fullName, Thomas Joseph Gola]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Thomas Joseph Gola
Context triple: [Tom Gola, fullName, Thomas Joseph Gola]
  • A. Tom Gola chosen
    Tom Gola was an American Hall of Fame basketball player and coach renowned for his collegiate stardom at La Salle University and successful NBA career, primarily with the Philadelphia Warriors.
  • B. Frank Santillo
    Frank Santillo was an American film editor known for his work on numerous Hollywood productions, including classic Westerns.
  • C. Frank Galati
    Frank Galati was an American director, adapter, and screenwriter known for his acclaimed stage and film adaptations of literary works.
  • D. Arthur Herbert Fonzarelli
    Arthur Herbert Fonzarelli, better known as "Fonzie" or "The Fonz," is a iconic leather-jacket-wearing greaser character from the American television sitcom "Happy Days," celebrated for his cool demeanor and catchphrases.
  • E. Don Ierullo
    Don Ierullo is a media entrepreneur best known for founding the global entertainment company Entertainment One.
  • 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_69ca838e78748190934d82db3104f855 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc612952348190856d6964122c3f01 completed April 1, 2026, 12:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfa0f1f1888190a5b514b895e44799 completed April 3, 2026, 11:13 a.m.
Created at: March 30, 2026, 6:52 p.m.