Triple

T11794727
Position Surface form Disambiguated ID Type / Status
Subject Fables E280474 entity
Predicate awarded P11 FINISHED
Object Eisner Award E194798 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: Eisner Award | Statement: [Fables, awarded, Eisner Award]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eisner Award
Context triple: [Fables, awarded, Eisner Award]
  • A. Eisner Award chosen
    The Eisner Award is one of the most prestigious honors in the comic book industry, recognizing outstanding creative achievement in comics and graphic novels.
  • B. Jack Kirby Award
    The Jack Kirby Award was a prestigious 1980s comic book industry honor recognizing outstanding achievements in comics, particularly in the direct market.
  • C. Harvey Award
    The Harvey Award is a prestigious American comic book industry honor recognizing outstanding achievements in writing, art, and publishing.
  • D. Hugo Award for Best Graphic Story or Comic
    The Hugo Award for Best Graphic Story or Comic is a prestigious annual science fiction and fantasy award recognizing excellence in graphic novels and comic works.
  • E. Winsor McCay Award
    The Winsor McCay Award is a prestigious lifetime achievement honor in animation, recognizing individuals for their outstanding contributions to the art and industry of animated filmmaking.
  • 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_69d6ab258b808190b1735835c841e3a4 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a5a082d08190a42541396a06ed98 completed April 10, 2026, 7:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69f09115c66c8190b0a3e775bdf575c1 completed April 28, 2026, 10:51 a.m.
Created at: April 8, 2026, 9:42 p.m.