Triple

T12060834
Position Surface form Disambiguated ID Type / Status
Subject Frankenweenie (1984 short film) E287163 entity
Predicate musicBy P1952 FINISHED
Object Michael Convertino E57814 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: Michael Convertino | Statement: [Frankenweenie (1984 short film), musicBy, Michael Convertino]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michael Convertino
Context triple: [Frankenweenie (1984 short film), musicBy, Michael Convertino]
  • A. Michael Convertino chosen
    Michael Convertino is an American film composer known for scoring a variety of movies and television projects.
  • 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. Michael Antonelli
    Michael Antonelli is a professional cyclist from San Marino known for representing his country in international road racing competitions.
  • D. Michael Covino
    Michael Covino is an American filmmaker and actor best known for co-writing, directing, and starring in the acclaimed indie film "The Climb."
  • E. Daniel Nigro
    Daniel Nigro is an American songwriter and producer known for his work with prominent pop and indie artists, including co-writing and producing hits for Olivia Rodrigo.
  • 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_69d6ab4846e081908ee7bbd66a6d3459 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9043dbccc8190bf9da181f826f0d8 completed April 10, 2026, 2:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6c0d2818c8190a1bea5f1fc8a9f59 completed May 3, 2026, 3:28 a.m.
Created at: April 8, 2026, 9:48 p.m.