Triple

T21297466
Position Surface form Disambiguated ID Type / Status
Subject Final Destination E524961 entity
Predicate producer P490 FINISHED
Object Warren Zide NE NERFINISHED

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: Warren Zide | Statement: [Final Destination, producer, Warren Zide]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Warren Zide
Context triple: [Final Destination, producer, Warren Zide]
  • A. Warren Zide chosen
    Warren Zide is a film producer best known for his work on hit comedy and horror franchises such as the American Pie and Final Destination series.
  • B. Doug Zembiec
    Doug Zembiec was a highly decorated U.S. Marine Corps officer, known as the “Lion of Fallujah,” who was posthumously honored for his extraordinary bravery and leadership in combat.
  • C. Calvin Zabo
    Calvin Zabo is a Marvel Comics supervillain and scientist better known as Mister Hyde, whose experiments on himself grant him monstrous strength and a brutal alter ego.
  • D. Donald Warren
    Donald Warren is an American Thoroughbred racehorse trainer best known for conditioning the champion mare Stellar Wind.
  • E. Tim Zajaros
    Tim Zajaros is an American film producer known for his work on independent features, including the acclaimed adventure drama "The Peanut Butter Falcon."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b517e6748190850d6f6ddf323d69 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7385968308190bc9fe5c2bd4598e6 completed April 21, 2026, 8:42 a.m.
Created at: April 16, 2026, 4:04 p.m.