Triple

T550673
Position Surface form Disambiguated ID Type / Status
Subject Hellboy E11831 entity
Predicate portrayedBy P1507 FINISHED
Object Ron Perlman E10602 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: Ron Perlman | Statement: [Hellboy, portrayedBy, Ron Perlman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ron Perlman
Context triple: [Hellboy, portrayedBy, Ron Perlman]
  • A. Ron Perlman chosen
    Ron Perlman is an American actor known for his distinctive deep voice and roles in projects such as the Hellboy films, the TV series "Sons of Anarchy," and numerous genre and voice-acting performances.
  • B. Doug Jones
    Doug Jones is an American actor best known for his physically transformative performances as fantastical creatures in films such as those directed by Guillermo del Toro.
  • C. Conrad Riggs
    Conrad Riggs is a television producer best known for his executive production work on major reality TV franchises, including "The Apprentice."
  • D. Mike Henry
    Mike Henry is an American actor, comedian, and writer best known for voicing characters such as Cleveland Brown on the animated television series Family Guy and its spin-off The Cleveland Show.
  • E. Ciarán Hinds
    Ciarán Hinds is an Irish actor known for his versatile performances in film, television, and theatre, with notable roles in works such as "Rome," "There Will Be Blood," and "Game of Thrones."
  • 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_69a4932941d08190815efd422f0b4ca7 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a499030cf4819089b9163102255e49 completed March 1, 2026, 7:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69a4e9b92f1c8190bdcf5ae3a07edb3a completed March 2, 2026, 1:36 a.m.
Created at: March 1, 2026, 7:32 p.m.