Triple

T20561461
Position Surface form Disambiguated ID Type / Status
Subject The Blip E504851 entity
Predicate restores P6258 FINISHED
Object Bucky Barnes NE NERFINISHED

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: Bucky Barnes | Statement: [The Blip, restores, Bucky Barnes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bucky Barnes
Context triple: [The Blip, restores, Bucky Barnes]
  • A. Bucky Barnes chosen
    Bucky Barnes is a Marvel Comics character best known as Captain America's childhood friend who becomes the brainwashed assassin Winter Soldier before seeking redemption.
  • B. Sam Wilson
    Sam Wilson is a Marvel Comics superhero better known as the Falcon, an ally of Captain America who later takes up the Captain America mantle himself.
  • C. Max Connor
    Max Connor is the young boy protagonist in the fantasy comedy film "Kazaam," who discovers and befriends a rapping genie.
  • D. Bucky
    Bucky is the nickname of Bucky Harris, a Hall of Fame Major League Baseball second baseman and manager best known for leading the Washington Senators to a World Series title in 1924.
  • E. Bucky
    Bucky is the costumed badger mascot of the University of Wisconsin–Madison’s athletic teams.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4b6587c8190aee63dc7cff244ea completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6a79ec10481909740eb6a08ae2658 completed April 20, 2026, 10:24 p.m.
Created at: April 16, 2026, 11:39 a.m.