Triple

T12009510
Position Surface form Disambiguated ID Type / Status
Subject Johnny English Strikes Again E285869 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: [Johnny English Strikes Again, producer, Eric Fellner]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eric Fellner
Context triple: [Johnny English Strikes Again, 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 Pohlmann
    Eric Pohlmann was an Austrian-born character actor best known for providing the original voice of the villain Ernst Stavro Blofeld in the early James Bond films.
  • C. 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.
  • D. 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.
  • E. Don Ettlinger
    Don Ettlinger was a screenwriter active in early 20th-century American cinema, known for adapting popular literary works for the screen.
  • 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_69d6ab45a368819084fce08bf0dc3705 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d903d61a4c81909e6cb6500b61df94 completed April 10, 2026, 2:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69f62a76b0a48190800c5b3cc40308f3 completed May 2, 2026, 4:46 p.m.
Created at: April 8, 2026, 9:46 p.m.