Triple

T4035122
Position Surface form Disambiguated ID Type / Status
Subject The Truman Show E83809 entity
Predicate cinematographyBy P1953 FINISHED
Object Peter Biziou E235553 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: Peter Biziou | Statement: [The Truman Show, cinematographyBy, Peter Biziou]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Peter Biziou
Context triple: [The Truman Show, cinematographyBy, Peter Biziou]
  • A. Peter Biziou chosen
    Peter Biziou is a British cinematographer known for his work on films such as "Bugsy Malone" and the Oscar-winning "Mississippi Burning."
  • B. Jean-Claude Olivier
    Jean-Claude Olivier is a writer associated with the Juicy brand or publication.
  • C. Gérard Lopez
    Gérard Lopez is a Luxembourgish-Spanish businessman and investor known for owning and leading several European football clubs, including Girondins de Bordeaux and previously Lille OSC.
  • D. Michel Poletti
    Michel Poletti is a French trail-running organizer best known for co-founding and directing the Ultra-Trail du Mont-Blanc, one of the world’s most prestigious ultramarathons.
  • E. Laurent Jouvenet
    Laurent Jouvenet was a French painter of the 17th century, known as the father of the more famous Baroque artist Jean Jouvenet.
  • 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_69aed92f7cf0819098e0539bdcc3767f completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefb11d92481909aaebbc250ff45b9 completed March 9, 2026, 4:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69b595ffd8b4819099bb5698d9cc10e0 completed March 14, 2026, 5:08 p.m.
Created at: March 9, 2026, 3:36 p.m.