Triple

T15082908
Position Surface form Disambiguated ID Type / Status
Subject Hellboy: Seed of Destruction E360194 entity
Predicate coWriter P2389 FINISHED
Object John Byrne E344069 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: John Byrne | Statement: [Hellboy: Seed of Destruction, coWriter, John Byrne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Byrne
Context triple: [Hellboy: Seed of Destruction, coWriter, John Byrne]
  • A. John Byrne
    John Byrne is a Scottish artist and playwright known for his distinctive visual style and acclaimed works for stage and television, including "The Slab Boys" trilogy.
  • B. John Byrne chosen
    John Byrne is a renowned comic book writer and artist best known for his influential work on titles like X-Men, Fantastic Four, and Superman.
  • C. Peter Byrne
    Peter Byrne was a British actor best known for his long-running role as Andy Crawford in the classic television police series "Dixon of Dock Green."
  • D. Michael Byrne
    Michael Byrne is a British character actor known for his numerous film and television roles, often portraying military officers or authority figures.
  • E. Larry Byrne
    Larry Byrne is the husband of American politician Leslie L. Byrne, who served as a U.S. Representative from Virginia.
  • 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_69d85a035aa88190b52a139d3a1b7b6d completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0027450a48190a84588b6aaf84ebf completed April 15, 2026, 9:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69feae179a24819097019976707c93e1 completed May 9, 2026, 3:46 a.m.
Created at: April 10, 2026, 3:03 a.m.