Triple

T20774455
Position Surface form Disambiguated ID Type / Status
Subject Anthony Zimmer E511318 entity
Predicate cinematographyBy P1953 FINISHED
Object Denis Rouden NE NERFINISHED

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: Denis Rouden | Statement: [Anthony Zimmer, cinematographyBy, Denis Rouden]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Denis Rouden
Context triple: [Anthony Zimmer, cinematographyBy, Denis Rouden]
  • A. Denis Rouden chosen
    Denis Rouden is a French cinematographer known for his visually striking work on films such as "The Big Blue."
  • B. Denis Milden
    Denis Milden is a central character in Siegfried Sassoon’s novel "Memoirs of a Fox-Hunting Man," representing the traditional English country gentleman immersed in hunting and rural life.
  • C. Denis Kosiak
    Denis Kosiak is a music producer best known for his work on the project American Teen.
  • D. Peter Darche
    Peter Darche is a musician best known for having been a member of the experimental indie rock band Dirty Projectors.
  • E. Nicolas Surovy
    Nicolas Surovy is an American actor known for his work in television and film, including roles on soap operas such as "All My Children."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4ca01148190ac018e57e0cab46f completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c26a39bc81909ca5d102056d8586 completed April 21, 2026, 12:18 a.m.
Created at: April 16, 2026, 12:37 p.m.