Triple

T1242825
Position Surface form Disambiguated ID Type / Status
Subject Interstellar E26696 entity
Predicate cinematographer P1953 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: [Interstellar, cinematographer, Hoyte van Hoytema]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hoyte van Hoytema
Context triple: [Interstellar, cinematographer, 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. 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."
  • C. Michael Cuesta
    Michael Cuesta is an American film and television director and producer known for his work on series such as Homeland, Dexter, and Six Feet Under.
  • D. Gabriel Mann
    Gabriel Mann is an American composer and musician best known for scoring television series such as "Modern Family" and "A Million Little Things."
  • E. Stephan Jost
    Stephan Jost is a Canadian art museum director best known for leading the Art Gallery of Ontario in Toronto.
  • 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_69a4948689d08190b3a4a3f388c02148 completed March 1, 2026, 7:33 p.m.
NER Named-entity recognition batch_69a4bf61fadc8190b7b9e23eaa15a61d completed March 1, 2026, 10:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac8f7bd6148190933210f66a8899ce completed March 7, 2026, 8:50 p.m.
Created at: March 1, 2026, 7:47 p.m.