Triple

T14301059
Position Surface form Disambiguated ID Type / Status
Subject The Nightmare Man E354562 entity
Predicate portrayedBy P1507 FINISHED
Object Julian Bleach E417912 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: Julian Bleach | Statement: [The Nightmare Man, portrayedBy, Julian Bleach]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Julian Bleach
Context triple: [The Nightmare Man, portrayedBy, Julian Bleach]
  • A. Julian Bleach chosen
    Julian Bleach is an English actor known for his distinctive character roles in television, film, and theatre, including notable appearances in science fiction and horror genres.
  • B. Julian Nott
    Julian Nott is a British composer best known for his film and television scores, including the music for the "Wallace & Gromit" series.
  • C. Julian Wass
    Julian Wass is a film and television composer known for creating emotionally resonant scores, including the music for the coming-of-age drama "The Miseducation of Cameron Post."
  • D. Julian Yates
    Julian Yates is a scholar and academic known for his work in literary and cultural studies.
  • E. Julian Cress
    Julian Cress is an Australian television producer best known for co-creating and producing the popular reality renovation series "The Block."
  • 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_69d8278e17088190b328c5a9d4be74ff completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de717e246c819083e67ac2b3b77881 completed April 14, 2026, 4:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd3d2883e081909c53170ef30b4125 completed May 8, 2026, 1:32 a.m.
Created at: April 10, 2026, 1:11 a.m.