Triple

T15565684
Position Surface form Disambiguated ID Type / Status
Subject The Twilight Zone: The Movie E371108 entity
Predicate segmentDirector P83424 FINISHED
Object Joe Dante E385669 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: Joe Dante | Statement: [The Twilight Zone: The Movie, segmentDirector, Joe Dante]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Joe Dante
Context triple: [The Twilight Zone: The Movie, segmentDirector, Joe Dante]
  • A. Joe Dante chosen
    Joe Dante is an American film director best known for his darkly comedic and genre-blending work in movies like Gremlins, The Howling, and Innerspace.
  • B. Ron Aniello
    Ron Aniello is an American record producer, composer, and musician best known for his extensive collaboration with Bruce Springsteen on several of his later albums.
  • C. George Russo
    George Russo is an actor known for his role in the film "The Time of Angels."
  • D. Barry Sonnenfeld
    Barry Sonnenfeld is an American filmmaker and cinematographer best known for directing the Men in Black trilogy and The Addams Family films.
  • E. Jon Spaihts
    Jon Spaihts is an American screenwriter and producer best known for his work on major science fiction and blockbuster films such as "Prometheus," "Doctor Strange," and "Dune."
  • 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_69d85cc6cf40819091f4a5facee1ebe6 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04ddd753c8190b51eaef433258081 completed April 16, 2026, 2:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff4c4046c08190a43bd5577a97f33d completed May 9, 2026, 3:01 p.m.
Created at: April 10, 2026, 4:10 a.m.