Triple

T14834429
Position Surface form Disambiguated ID Type / Status
Subject Fire & Blood E348789 entity
Predicate illustrator P9707 FINISHED
Object Doug Wheatley E1126567 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: Doug Wheatley | Statement: [Fire & Blood, illustrator, Doug Wheatley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Doug Wheatley
Context triple: [Fire & Blood, illustrator, Doug Wheatley]
  • A. Doug Wheatley chosen
    Doug Wheatley is a Canadian comic book artist and illustrator known for his detailed fantasy and science fiction artwork, including covers and interior art for major franchises such as Star Wars and A Song of Ice and Fire–related works.
  • B. Guy Weadick
    Guy Weadick was an American-born cowboy, promoter, and showman best known for creating the Calgary Stampede and helping popularize rodeo culture in Canada.
  • C. Matt Wolpert
    Matt Wolpert is a television writer and producer best known for co-creating the alternate-history space drama series "For All Mankind."
  • D. Doug Whiting
    Doug Whiting is a cryptographer and computer scientist best known as one of the designers of the Twofish symmetric-key block cipher.
  • E. Don Burnett
    Don Burnett was a British-born American actor best known for his film and television roles in the 1950s and 1960s.
  • 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_69d822ec69008190a9232caa68836872 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69ded076ac9c8190a05cabec5e87d207 completed April 14, 2026, 11:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe7e7de2c08190abf827376cd415ba completed May 9, 2026, 12:23 a.m.
Created at: April 10, 2026, 1:52 a.m.