Triple

T7603940
Position Surface form Disambiguated ID Type / Status
Subject The Lion King (2019 film) E180053 entity
Predicate screenwriter P2831 FINISHED
Object Jeff Nathanson E318412 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: Jeff Nathanson | Statement: [The Lion King (2019 film), screenwriter, Jeff Nathanson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jeff Nathanson
Context triple: [The Lion King (2019 film), screenwriter, Jeff Nathanson]
  • A. Jeff Nathanson chosen
    Jeff Nathanson is an American screenwriter and film director best known for writing high-profile Hollywood films such as "Catch Me If You Can," "The Terminal," and Disney's live-action "The Lion King."
  • B. Michael Nathanson
    Michael Nathanson is a film producer known for his work on major Hollywood movies, including the legal drama "A Time to Kill."
  • C. Eric McLeod
    Eric McLeod is a film producer known for his work on major Hollywood action and genre movies, including the monster crossover blockbuster "Godzilla vs. Kong."
  • D. Geoff Pierson
    Geoff Pierson is an American actor known for his work in television dramas and comedies, including prominent roles on shows like Dexter and Unhappily Ever After.
  • E. Darren Morfitt
    Darren Morfitt is a British actor known for his roles in television dramas and genre series, including appearances in Doctor Who.
  • 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_69c69f3567008190ab01d2ca7b53584a completed March 27, 2026, 3:16 p.m.
NER Named-entity recognition batch_69c6f9fbd1408190b721bf016f997c7b completed March 27, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69ca0115d9bc81909be146c495daa77f completed March 30, 2026, 4:50 a.m.
Created at: March 27, 2026, 3:54 p.m.