Triple

T22767952
Position Surface form Disambiguated ID Type / Status
Subject Light Sleeper E563176 entity
Predicate portraysProtagonist P100368 FINISHED
Object Willem Dafoe 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: Willem Dafoe | Statement: [Light Sleeper, portraysProtagonist, Willem Dafoe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Willem Dafoe
Context triple: [Light Sleeper, portraysProtagonist, Willem Dafoe]
  • A. Willem Dafoe chosen
    Willem Dafoe is an American actor known for his intense, often unconventional performances in films such as "Platoon," "Spider-Man," and "The Florida Project."
  • B. Gregg Oldham
    Gregg Oldham is an individual notable enough to be recognized as a prominent bearer of the Oldham surname.
  • C. Mitchell Henry
    Mitchell Henry was a 19th-century British politician, businessman, and newspaper proprietor who played a key role in the early development of regional journalism in Manchester.
  • D. Christopher Walken
    Christopher Walken is an American actor known for his distinctive voice, eccentric screen presence, and memorable roles in films such as "The Deer Hunter," "Pulp Fiction," and "Catch Me If You Can."
  • E. James Keach
    James Keach is an American actor, director, and producer known for his work in films such as "Walk the Line" and for his long career in both film and television.
  • 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_69e24552e11c81909c2d61578a558bd7 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17a81d3348190b005a43a5e03d406 completed April 29, 2026, 3:26 a.m.
Created at: April 17, 2026, 3:27 p.m.