Triple

T6332963
Position Surface form Disambiguated ID Type / Status
Subject Poor Things E142424 entity
Predicate starring P1507 FINISHED
Object Willem Dafoe E43748 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: Willem Dafoe | Statement: [Poor Things, starring, Willem Dafoe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Willem Dafoe
Context triple: [Poor Things, starring, 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. 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."
  • C. 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.
  • D. Michael Cerveris
    Michael Cerveris is a Tony Award–winning American actor and singer known for his work on Broadway and in film and television.
  • E. Pete Postlethwaite
    Pete Postlethwaite was an acclaimed English character actor known for his distinctive features and powerful performances in films such as "In the Name of the Father," "The Usual Suspects," and "Brassed Off."
  • 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_69c008d4d8e88190ad301c05b08722ac completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c06517a1e88190a0bfcac8a7e3a305 completed March 22, 2026, 9:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69c60424a5dc8190820970fce13776ac completed March 27, 2026, 4:14 a.m.
Created at: March 22, 2026, 4:30 p.m.