Triple

T7362176
Position Surface form Disambiguated ID Type / Status
Subject Deadpool E169776 entity
Predicate ally P4662 FINISHED
Object Wolverine E119393 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: Wolverine | Statement: [Deadpool, ally, Wolverine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wolverine
Context triple: [Deadpool, ally, Wolverine]
  • A. 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.
  • B. Wolverine chosen
    Wolverine is a popular Marvel Comics mutant superhero known for his retractable adamantium claws, accelerated healing factor, and membership in the X-Men.
  • C. Wolverine Wildcat
    Wolverine Wildcat is a classic wooden roller coaster located at the Michigan’s Adventure amusement park in Muskegon, Michigan.
  • D. Magneto
    Magneto is a powerful Marvel Comics supervillain and occasional antihero, known as a mutant with magnetic abilities and a complex ideological rivalry with the X-Men.
  • E. 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.
  • 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_69c68a5ade988190885b7175f63b7534 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f15f218081909b5cc7a8cc695055 completed March 27, 2026, 9:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7fab3a9d88190b9193dd0729eba5a completed March 28, 2026, 3:58 p.m.
Created at: March 27, 2026, 3:06 p.m.