Triple

T20373403
Position Surface form Disambiguated ID Type / Status
Subject Pinhead E497629 entity
Predicate portrayedBy P1507 FINISHED
Object Doug Bradley 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: Doug Bradley | Statement: [Pinhead, portrayedBy, Doug Bradley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Doug Bradley
Context triple: [Pinhead, portrayedBy, Doug Bradley]
  • A. Doug Bradley chosen
    Doug Bradley is an English actor best known for playing the iconic horror character Pinhead in the Hellraiser film series.
  • B. Tony Todd
    Tony Todd is an American actor best known for his commanding presence in horror films, particularly his iconic role as the title character in the "Candyman" franchise.
  • C. Lance Henriksen
    Lance Henriksen is an American character actor best known for his intense performances in science fiction and horror films such as the Alien franchise and the TV series Millennium.
  • D. Joel Grey
    Joel Grey is an American actor, singer, and dancer best known for his Oscar-winning portrayal of the Master of Ceremonies in the film adaptation of the musical "Cabaret."
  • E. Donald Pleasence
    Donald Pleasence was an English character actor renowned for his intense performances in film and television, including iconic roles in the "Halloween" series and "The Great Escape."
  • 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_69e0b4a5b7908190a972e4e7e698ae94 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e678aad7b08190a710a75d6828b21e completed April 20, 2026, 7:04 p.m.
Created at: April 16, 2026, 11:27 a.m.