Triple

T1108146
Position Surface form Disambiguated ID Type / Status
Subject Jungle Cruise E25532 entity
Predicate storyBy P1955 FINISHED
Object John Requa E238361 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: John Requa | Statement: [Jungle Cruise, storyBy, John Requa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Requa
Context triple: [Jungle Cruise, storyBy, John Requa]
  • A. John Requa chosen
    John Requa is an American screenwriter and director known for co-writing films such as "Bad Santa," "I Love You Phillip Morris," and "Jungle Cruise."
  • B. David Scearce
    David Scearce is a Canadian screenwriter best known for adapting Christopher Isherwood’s novel into the acclaimed film "A Single Man."
  • C. John Dandridge
    John Dandridge was a Virginia planter and colonial official best known as the father of Martha Washington, the first First Lady of the United States.
  • D. Richard Stolley
    Richard Stolley was an influential American magazine editor best known for shaping modern celebrity journalism as the founding managing editor of People magazine.
  • E. Matthias N. Forney
    Matthias N. Forney was a 19th-century American mechanical engineer and locomotive designer who played a key role in the early professionalization of mechanical engineering in the United States.
  • 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_69a49428d4448190b3b36991ceae87ce completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4b9e6134481909f348986a25f65c6 completed March 1, 2026, 10:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69ae650fa53c8190a6db9d10c97f9850 completed March 9, 2026, 6:13 a.m.
Created at: March 1, 2026, 7:43 p.m.