Triple

T12997521
Position Surface form Disambiguated ID Type / Status
Subject Evan Peters E322077 entity
Predicate portrayedCharacter P1668 FINISHED
Object Quicksilver E291484 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: Quicksilver | Statement: [Evan Peters, portrayedCharacter, Quicksilver]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Quicksilver
Context triple: [Evan Peters, portrayedCharacter, Quicksilver]
  • A. Quicksilver
    Quicksilver is a historical science fiction novel by Neal Stephenson that blends 17th-century politics, early modern science, and adventure, and serves as the first volume of his Baroque Cycle.
  • B. Quicksilver chosen
    Quicksilver is a Marvel Comics superhero known for his superhuman speed and frequent involvement with major teams like the Avengers and the X-Men.
  • C. The Wolverine
    The Wolverine is a 2013 superhero film centered on the Marvel Comics character Wolverine, following his journey to Japan where he confronts both his past and powerful new enemies.
  • D. X-23
    X-23 is a Marvel Comics character, a female clone and successor to Wolverine known for her adamantium claws, healing factor, and complex struggle with her assassin origins.
  • E. Wolverine
    Wolverine is a higher-speed Amtrak passenger train service that operates multiple daily routes between Chicago, Detroit, and Pontiac in the Midwestern United States.
  • 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_69d8076479b8819090afce3591939cdf completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d97e7980288190a9fe629a8cc76a52 completed April 10, 2026, 10:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6c0fe9d608190b9d503f4da1fe0c0 completed May 3, 2026, 3:29 a.m.
Created at: April 9, 2026, 8:45 p.m.