Triple

T10210029
Position Surface form Disambiguated ID Type / Status
Subject Clarisse McClellan E242301 entity
Predicate appearsInWorkBy P12692 FINISHED
Object Ray Bradbury E19900 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: Ray Bradbury | Statement: [Clarisse McClellan, appearsInWorkBy, Ray Bradbury]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ray Bradbury
Context triple: [Clarisse McClellan, appearsInWorkBy, Ray Bradbury]
  • A. Ray Bradbury chosen
    Ray Bradbury was an American author best known for his imaginative and socially critical science fiction and fantasy works, including the classic novel "Fahrenheit 451."
  • B. Robert Adrian Bradbury
    Robert Adrian Bradbury was an American film director, screenwriter, and producer best known for his prolific work on low-budget Westerns during the early 20th century.
  • C. Bradbury
    Bradbury is a surname of English origin borne by various notable individuals across fields such as literature, sports, and entertainment.
  • D. Harlan Ellison
    Harlan Ellison was an influential American writer best known for his provocative speculative fiction, sharp criticism, and award-winning short stories and teleplays.
  • E. Philip K. Dick
    Philip K. Dick was an American science fiction author renowned for his philosophical, reality-bending stories that inspired numerous films, including the one on which "The Adjustment Bureau" is based.
  • 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_69d381ae26c48190985abd0e25ee5d04 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d395fbed008190b66996f5bb397853 completed April 6, 2026, 11:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69d6f6f4d0cc8190ae41277b15b3012d completed April 9, 2026, 12:46 a.m.
Created at: April 6, 2026, 11:01 a.m.