Triple

T56323
Position Surface form Disambiguated ID Type / Status
Subject Hugo Award E1113 entity
Predicate comparedWith P278 FINISHED
Object Locus Award E1642 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: Locus Award | Statement: [Hugo Award, comparedWith, Locus Award]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Locus Award
Context triple: [Hugo Award, comparedWith, Locus Award]
  • A. Locus Award chosen
    The Locus Award is a prestigious set of annual science fiction and fantasy literary awards voted on by readers of Locus magazine.
  • B. Nebula Award
    The Nebula Award is a prestigious set of annual honors presented by the Science Fiction and Fantasy Writers Association to recognize outstanding works in science fiction and fantasy literature.
  • C. Hugo Award
    The Hugo Award is one of the most prestigious honors in science fiction and fantasy, recognizing outstanding works and achievements in the genre as voted on by members of the World Science Fiction Society.
  • D. Ellie Awards
    The Ellie Awards are prestigious annual honors recognizing excellence in American magazine journalism and publishing.
  • E. Astounding Award for Best New Writer
    The Astounding Award for Best New Writer is a major science fiction and fantasy honor recognizing the most promising emerging authors in the field.
  • 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_69a248adc5b48190aa8db9fb092fb28a completed Feb. 28, 2026, 1:45 a.m.
NER Named-entity recognition batch_69a24ec4d84c81908d85a1e941dbcd19 completed Feb. 28, 2026, 2:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69a26c19b6088190af308ead33ae784e completed Feb. 28, 2026, 4:16 a.m.
Created at: Feb. 28, 2026, 1:50 a.m.