Triple

T5092160
Position Surface form Disambiguated ID Type / Status
Subject Sid and Nancy E114775 entity
Predicate producer P490 FINISHED
Object Eric Fellner E136678 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: Eric Fellner | Statement: [Sid and Nancy, producer, Eric Fellner]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eric Fellner
Context triple: [Sid and Nancy, producer, Eric Fellner]
  • A. Eric Fellner chosen
    Eric Fellner is a British film producer and co-chairman of Working Title Films, known for overseeing numerous successful UK and international movies.
  • B. Eric Schoffstall
    Eric Schoffstall is a software developer best known for creating Gulp, a popular JavaScript-based task runner used in web development build workflows.
  • C. Bill Steinkellner
    Bill Steinkellner is an American television writer and producer best known for his work on popular sitcoms, often in collaboration with his wife Cheri Steinkellner.
  • D. Brian Roettinger
    Brian Roettinger is an American graphic designer and art director known for his innovative work in music packaging and visual identities for prominent artists and brands.
  • E. Jeremy Furstenfeld
    Jeremy Furstenfeld is the drummer of the American alternative rock band Blue October.
  • 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_69bd443e941881908eb4e8c685b6f656 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd754369708190bf4e171a904a19e1 completed March 20, 2026, 4:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69bfc018410c8190bfd0138ced6c2151 completed March 22, 2026, 10:10 a.m.
Created at: March 20, 2026, 1:40 p.m.