Triple

T22449259
Position Surface form Disambiguated ID Type / Status
Subject Pigeon Post E554944 entity
Predicate hasProtagonist P8706 FINISHED
Object John Walker 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: John Walker | Statement: [Pigeon Post, hasProtagonist, John Walker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Walker
Context triple: [Pigeon Post, hasProtagonist, John Walker]
  • A. John Walker
    John Walker is one of the Birmingham Six, a group of men whose wrongful convictions for the 1974 Birmingham pub bombings became a landmark miscarriage-of-justice case in the UK.
  • B. John Walker chosen
    John Walker is a Marvel Comics and Marvel Cinematic Universe character who temporarily assumes the mantle of Captain America before becoming the anti-hero U.S. Agent.
  • C. John Walker
    John Walker was a key figure in the late 18th-century British exploration movement, known for helping to establish organizations that promoted the exploration and study of Africa.
  • D. John Walker
    John Walker was an early American politician who briefly served as president pro tempore of the United States Senate during the First Congress.
  • E. John Walker
    John Walker is an American film producer best known for his work on Pixar animated features, including "The Incredibles."
  • 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_69e11e5113208190ab58c6b595f9d1d0 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15b4a20f8819097f471084e97e099 completed April 29, 2026, 1:13 a.m.
Created at: April 16, 2026, 8:48 p.m.