Triple

T8002620
Position Surface form Disambiguated ID Type / Status
Subject Marc Trasolini E186286 entity
Predicate name P16 FINISHED
Object Marc Trasolini E186286 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: Marc Trasolini | Statement: [Marc Trasolini, name, Marc Trasolini]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marc Trasolini
Context triple: [Marc Trasolini, name, Marc Trasolini]
  • A. Marc Trasolini chosen
    Marc Trasolini is a Canadian professional basketball player and standout former forward for Santa Clara University who went on to play internationally, particularly in Japan’s B.League.
  • B. Marc Iacona
    Marc Iacona is an American arts executive and co-founder of the Rochester International Jazz Festival, known for his role in developing it into a major jazz event.
  • C. Matt Lattanzi
    Matt Lattanzi is an American actor and former dancer best known for his roles in 1980s films and for his marriage to singer and actress Olivia Newton-John.
  • D. Michael Ferraro
    Michael Ferraro is a co-founder of Blue Sky Studios, the acclaimed animation company behind films such as the Ice Age series.
  • E. Sam Lavagnino
    Sam Lavagnino is an American child voice actor known for roles in animated television series and films, including work in the 2018 adaptation of Dr. Seuss' The Grinch.
  • 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_69ca82aaaf24819084b94d18f699ba53 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3cf2918081909ee0afab11caed63 completed March 31, 2026, 3:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69ccbe26a07c8190af48bb9189b12a44 completed April 1, 2026, 6:41 a.m.
Created at: March 30, 2026, 5:18 p.m.