Triple

T7499538
Position Surface form Disambiguated ID Type / Status
Subject Snakes on a Plane E177222 entity
Predicate producer P490 FINISHED
Object Gary Levinsohn E255478 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: Gary Levinsohn | Statement: [Snakes on a Plane, producer, Gary Levinsohn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gary Levinsohn
Context triple: [Snakes on a Plane, producer, Gary Levinsohn]
  • A. Gary Levinsohn chosen
    Gary Levinsohn is a film producer best known for his work on major Hollywood features, including the acclaimed World War II drama "Saving Private Ryan."
  • B. Henry Krinsky
    Henry Krinsky, later known as Henry Crown, was a prominent American industrialist and financier who built a vast business empire including Material Service Corporation and a major stake in General Dynamics.
  • C. Mike Greenberg
    Mike Greenberg is an American television and radio sportscaster best known as a longtime ESPN personality and co-host of popular sports talk shows.
  • D. Sam Levy
    Sam Levy is an American cinematographer best known for his frequent collaborations with director Noah Baumbach and his work on acclaimed independent films.
  • E. Josh Levi
    Josh Levi is an American singer and actor known for his music career and for voicing a character in Pixar's animated film "Turning Red."
  • 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_69c69f2696688190915a8458f2398211 completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f598dfac8190a123daaac0784aee completed March 27, 2026, 9:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69c95ffa6a3c819089aa939b164dbcaa completed March 29, 2026, 5:23 p.m.
Created at: March 27, 2026, 3:44 p.m.