Triple

T10323491
Position Surface form Disambiguated ID Type / Status
Subject van Hoytema E242698 entity
Predicate hasNotableBearer P458 FINISHED
Object Hoyte van Hoytema E8986 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: Hoyte van Hoytema | Statement: [van Hoytema, hasNotableBearer, Hoyte van Hoytema]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hoyte van Hoytema
Context triple: [van Hoytema, hasNotableBearer, Hoyte van Hoytema]
  • A. Hoyte van Hoytema chosen
    Hoyte van Hoytema is a renowned Dutch-Swedish cinematographer known for his visually striking work on major films such as Interstellar, Dunkirk, Tenet, and Oppenheimer.
  • B. Michael Seitzman
    Michael Seitzman is an American screenwriter and producer known for his work on films such as "North Country" and for creating and producing several television series.
  • C. John Seitz
    John Seitz was an American cinematographer renowned for his influential work in classic Hollywood cinema, particularly in film noir and science fiction.
  • D. Wally Pfister
    Wally Pfister is an American cinematographer and director best known for his long-time collaboration with Christopher Nolan, including his Oscar-winning work on "Inception."
  • E. James Schoonmaker
    James Schoonmaker is a fictional character from P. G. Wodehouse’s comic novel "Service with a Smile," set in the Blandings Castle universe.
  • 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_69d381af787481908bc401325c760a88 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d6cdb6cc8190b37ca4494287128b completed April 7, 2026, 10:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69d71da2053481908fe5ed097b480cdd completed April 9, 2026, 3:31 a.m.
Created at: April 6, 2026, 11:50 a.m.