Triple

T5142468
Position Surface form Disambiguated ID Type / Status
Subject Amber (Green Room) E115989 entity
Predicate createdBy P806 FINISHED
Object Jeremy Saulnier E115981 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: Jeremy Saulnier | Statement: [Amber (Green Room), createdBy, Jeremy Saulnier]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jeremy Saulnier
Context triple: [Amber (Green Room), createdBy, Jeremy Saulnier]
  • A. Jeremy Saulnier chosen
    Jeremy Saulnier is an American filmmaker known for his tense, visually striking genre films, including the acclaimed thrillers "Blue Ruin" and "Green Room."
  • B. Chad Stahelski
    Chad Stahelski is an American film director, stunt coordinator, and former stuntman best known for directing the John Wick action film series.
  • C. Nico Parker
    Nico Parker is a British actress known for her breakout role in Disney's live-action "Dumbo" (2019) and subsequent appearances in film and television.
  • D. Ken Biller
    Ken Biller is a television writer, producer, and director best known for his work on series such as "Star Trek: Voyager" and "Genius."
  • E. Scott Frank
    Scott Frank is an American screenwriter and director known for his work on acclaimed films such as "Out of Sight," "Minority Report," and the series "The Queen's Gambit."
  • 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_69bd4446c0e08190a7c29dc74976bf03 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd787ff1c081909a6954aa76e12cbf completed March 20, 2026, 4:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf186b92a48190a167a5712667809b completed March 21, 2026, 10:15 p.m.
Created at: March 20, 2026, 1:43 p.m.