Triple

T14134479
Position Surface form Disambiguated ID Type / Status
Subject Steve Ferrone E350253 entity
Predicate name P16 FINISHED
Object Steve Ferrone E350253 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: Steve Ferrone | Statement: [Steve Ferrone, name, Steve Ferrone]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Steve Ferrone
Context triple: [Steve Ferrone, name, Steve Ferrone]
  • A. Steve Ferrone chosen
    Steve Ferrone is an English drummer best known for his long tenure with Tom Petty and the Heartbreakers as well as his extensive work as a session and touring musician.
  • B. Michael Ferraro
    Michael Ferraro is a co-founder of Blue Sky Studios, the acclaimed animation company behind films such as the Ice Age series.
  • C. Russell Ferrante
    Russell Ferrante is an American jazz pianist, composer, and co-founder of the Grammy-winning fusion group Yellowjackets.
  • D. Mark Ferrante
    Mark Ferrante is an American college football coach best known for leading the Villanova Wildcats football program.
  • E. Max Ferraro
    Max Ferraro is a recurring character on the sitcom "One Day at a Time," known as a charming EMT and the on-and-off romantic partner of Penelope Alvarez.
  • 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_69d827865f608190b311820428ae027b completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de610e949c8190852d336c9d12bfd0 completed April 14, 2026, 3:45 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0025e6bc748190b8099e7559569a90 completed May 10, 2026, 6:29 a.m.
Created at: April 9, 2026, 11:45 p.m.