Triple

T10821155
Position Surface form Disambiguated ID Type / Status
Subject Saga E255371 entity
Predicate award P107 FINISHED
Object Eisner Awards 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 Awards | Statement: [Saga, award, Eisner Awards]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eisner Awards
Context triple: [Saga, award, Eisner Awards]
  • 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. Gotham Award
    The Gotham Award is an American film accolade that honors independent cinema, recognizing outstanding achievements in low-budget and artistically distinctive films.
  • 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_69d6aa8081448190a9324184f2bd1c26 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d73449eee88190afa52c4e6ef96baa completed April 9, 2026, 5:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69de8578428c8190a25d9008881d0114 completed April 14, 2026, 6:20 p.m.
Created at: April 8, 2026, 9:18 p.m.