Triple

T13257931
Position Surface form Disambiguated ID Type / Status
Subject Will Yun Lee E315710 entity
Predicate appearedIn P795 FINISHED
Object The Wolverine E264300 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: The Wolverine | Statement: [Will Yun Lee, appearedIn, The Wolverine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Wolverine
Context triple: [Will Yun Lee, appearedIn, The Wolverine]
  • A. The Wolverine chosen
    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.
  • B. X-Men Origins: Wolverine
    X-Men Origins: Wolverine is a 2009 superhero film that explores the backstory of the Marvel Comics character Wolverine, focusing on his early life, military past, and transformation into the iconic mutant.
  • C. Wolverine MAX
    Wolverine MAX is a mature, gritty Marvel Comics series that reimagines the Wolverine character in a more realistic and violent MAX imprint setting.
  • D. X-Men: Apocalypse
    X-Men: Apocalypse is a 2016 superhero film in the X-Men franchise that follows the mutant team as they battle the ancient and powerful mutant Apocalypse.
  • 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_69d806b1d9ac8190852c5571d5bd5f0f completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98f7614fc8190a1cac076d706e9aa completed April 11, 2026, 12:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69f716c90c5c8190a6de94b92db12210 completed May 3, 2026, 9:35 a.m.
Created at: April 9, 2026, 9:25 p.m.