Triple

T7499537
Position Surface form Disambiguated ID Type / Status
Subject Snakes on a Plane E177222 entity
Predicate producer P490 FINISHED
Object Don Granger E388357 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: Don Granger | Statement: [Snakes on a Plane, producer, Don Granger]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Don Granger
Context triple: [Snakes on a Plane, producer, Don Granger]
  • A. Don Granger chosen
    Don Granger is an American film producer known for his work on major studio action and science fiction movies, including projects like "The Tomorrow War."
  • B. Arthur Grant
    Arthur Grant was a British cinematographer best known for his work on numerous Hammer Films productions in the mid-20th century.
  • C. John Grandy
    John Grandy was a senior Royal Air Force officer who rose to become a leading commander of British fighter forces during and after the Second World War.
  • D. Sam Giddings
    Sam Giddings is a central playable protagonist in the horror video game Until Dawn, known for her resourcefulness, moral compass, and strong chances of survival depending on player choices.
  • E. Donald XL Robertson
    Donald XL Robertson is a hip-hop music producer known for his work on prominent rap albums such as Lil Wayne’s "Tha Carter."
  • 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_69c83c900ad081908506a2097f7fd30b completed March 28, 2026, 8:39 p.m.
Created at: March 27, 2026, 3:44 p.m.