Triple

T8033104
Position Surface form Disambiguated ID Type / Status
Subject Logan E187033 entity
Predicate featuresVersionOfCharacter P66482 FINISHED
Object Old Man Logan E508704 NE FINISHED

How this triple was built (3 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: Old Man Logan | Statement: [Logan, featuresVersionOfCharacter, Old Man Logan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Old Man Logan
Context triple: [Logan, featuresVersionOfCharacter, Old Man Logan]
  • A. Old Man Logan chosen
    Old Man Logan is a popular Marvel Comics storyline set in a dystopian future where an aged Wolverine navigates a villain-ruled world after the fall of the superheroes.
  • B. 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.
  • C. LOGAN
    LOGAN is the radio callsign used by Loganair, a Scottish regional airline operating domestic and short-haul international flights.
  • D. Legion
    "Legion" is a 2010 supernatural action-horror film in which archangel Michael defies God to protect humanity from an impending apocalypse.
  • E. Legion
    Legion is a powerful extraterrestrial kaiju from the Gamera film series, known for its insect-like appearance and role as one of Gamera’s most formidable adversaries.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: featuresVersionOfCharacter
Context triple: [Logan, featuresVersionOfCharacter, Old Man Logan]
  • A. featuresCharactersFrom
    Indicates that one entity (such as a work or production) includes or presents characters originating from another entity.
  • B. filmCharacterVersionOf chosen
    Indicates that one character is a specific film adaptation or portrayal of another character originating from a different version or medium.
  • C. featuresCharacterRole
    Indicates that a work includes a character appearing in a specific narrative or functional role.
  • D. featuresReturnOf
    Indicates that something (such as a work, event, or product) includes or highlights the comeback or reappearance of a person, character, element, or feature.
  • E. featuresFictionalProgram
    Indicates that a work includes or presents a fictional program (such as a TV show, software, or in-universe broadcast) as part of its content.
  • F. None of above.

Provenance (4 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_69ca82ae2d1081909dbfee42b41db419 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3ef3e6848190913c4b1bef506aae completed March 31, 2026, 3:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc56ede1ac8190afd8a050e9a25851 completed March 31, 2026, 11:21 p.m.
PD Predicate disambiguation batch_69cb049688208190b32088bd2c5930bc completed March 30, 2026, 11:17 p.m.
Created at: March 30, 2026, 5:22 p.m.