Triple

T396143
Position Surface form Disambiguated ID Type / Status
Subject Hoyte van Hoytema E8986 entity
Predicate workedOn P3 FINISHED
Object Nope E50439 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: Nope | Statement: [Hoyte van Hoytema, workedOn, Nope]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nope
Context triple: [Hoyte van Hoytema, workedOn, Nope]
  • A. Nope chosen
    Nope is a 2022 science fiction horror film written and directed by Jordan Peele that blends UFO mythology with social commentary and spectacle.
  • B. Fink
    Fink is an open-source package management system that brings a wide range of Unix and open-source software to macOS by compiling and distributing it in a convenient, Debian-like format.
  • C. Blink
    Blink is an open-source web browser engine developed primarily by Google and used in several major browsers to render web pages.
  • D. Mr. Director
    Mr. Director is the formal style of address used for the Cabinet-level head of the United States Office of Management and Budget.
  • E. Taboo
    Taboo is an American rapper, singer, and member of the hip hop group The Black Eyed Peas, known for his energetic performances and distinctive style.
  • 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_69a2e7f55c60819097aff65ea2ca2832 completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2ec8a941081909a152fda0ce24a98 completed Feb. 28, 2026, 1:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69a4103d84bc819095f95ce4ce915114 completed March 1, 2026, 10:09 a.m.
Created at: Feb. 28, 2026, 1:08 p.m.