Triple

T2015221
Position Surface form Disambiguated ID Type / Status
Subject British Fantasy Award E43778 entity
Predicate notableRecipient P108 FINISHED
Object Stephen King E5939 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: Stephen King | Statement: [British Fantasy Award, notableRecipient, Stephen King]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stephen King
Context triple: [British Fantasy Award, notableRecipient, Stephen King]
  • A. Stephen King chosen
    Stephen King is a prolific American author renowned for his horror, supernatural fiction, suspense, and fantasy novels, many of which have been adapted into successful films and television series.
  • B. Dean Koontz
    Dean Koontz is a bestselling American author known for his suspenseful thrillers that blend horror, mystery, and science fiction elements.
  • C. William Peter Blatty
    William Peter Blatty was an American writer and filmmaker best known as the author and screenwriter of the horror classic "The Exorcist."
  • D. Joe Hill
    Joe Hill is an American author known for his horror and dark fantasy novels and comics, and is the son of writer Stephen King.
  • E. Richard Matheson
    Richard Matheson was an American author and screenwriter renowned for his influential works of horror, science fiction, and fantasy, including the novel "I Am Legend" and numerous classic "The Twilight Zone" episodes.
  • 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_69a88716e9f08190946313fdc949e3cf completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb8b610a88190bc10fd7dda19da08 completed March 7, 2026, 5:33 a.m.
NED1 Entity disambiguation (via context triple) batch_69aef07c3420819097a153052feb1a15 completed March 9, 2026, 4:08 p.m.
Created at: March 4, 2026, 7:37 p.m.