Triple

T9740933
Position Surface form Disambiguated ID Type / Status
Subject Dude, Where's My Car? E236182 entity
Predicate producer P490 FINISHED
Object Gil Netter E571376 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: Gil Netter | Statement: [Dude, Where's My Car?, producer, Gil Netter]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gil Netter
Context triple: [Dude, Where's My Car?, producer, Gil Netter]
  • A. Gil Netter chosen
    Gil Netter is an American film producer known for backing acclaimed adaptations and dramas such as Life of Pi, The Blind Side, and Water for Elephants.
  • B. Michael Burger
    Michael Burger is a legal scholar and environmental law expert known for his leadership in advancing climate change law and policy.
  • C. Glen Keane
    Glen Keane is an acclaimed American animator, author, and illustrator best known for his character animation work on classic Disney films such as "The Little Mermaid," "Beauty and the Beast," and "Aladdin."
  • D. Oliver Johnston
    Oliver Johnston was a British character actor known for his supporting roles in mid-20th-century films, including collaborations with Charlie Chaplin.
  • E. Paul Bogoff
    Paul Bogoff is the birth name of American television and film director Paul Bogart, known for his work on series like "All in the Family" and various acclaimed TV movies.
  • 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_69ca84d3e24481908a476e2231123cf9 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9f2af3e48190b83a442cd0e84062 completed April 1, 2026, 10:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1bccf62e08190ae799ee557ad1f1b completed April 5, 2026, 1:37 a.m.
Created at: March 30, 2026, 8:23 p.m.