Triple

T20011325
Position Surface form Disambiguated ID Type / Status
Subject Ogdred Weary E494595 entity
Predicate creator P184 FINISHED
Object Edward Gorey 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: Edward Gorey | Statement: [Ogdred Weary, creator, Edward Gorey]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Edward Gorey
Context triple: [Ogdred Weary, creator, Edward Gorey]
  • A. Edward Gorey chosen
    Edward Gorey was an American writer and illustrator known for his macabre, darkly humorous pen-and-ink drawings and gothic-tinged picture books.
  • B. Charles Beaumont
    Charles Beaumont was an American writer best known for his influential and often macabre scripts for the television series The Twilight Zone.
  • C. M. R. James
    M. R. James was an English medievalist scholar and author renowned for his influential ghost stories that helped define the modern supernatural horror genre.
  • D. Joan Aiken
    Joan Aiken was a British author best known for her imaginative children’s books and alternative-history novels, including the acclaimed Wolves Chronicles series.
  • E. Wolfgang Wells
    Wolfgang Wells is one of the many alternate-universe versions of genius scientist Harrison Wells, portrayed by Tom Cavanagh in the TV series "The Flash."
  • 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_69da626b2d748190886981ea90c8b2ea completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e662362df48190abf16129eea39985 completed April 20, 2026, 5:28 p.m.
Created at: April 11, 2026, 3:33 p.m.