Triple

T6577672
Position Surface form Disambiguated ID Type / Status
Subject John Stewart E157209 entity
Predicate name P16 FINISHED
Object John Stewart unclear NED1 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: John Stewart | Statement: [John Stewart, name, John Stewart]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Stewart
Context triple: [John Stewart, name, John Stewart]
  • A. John Stewart
    John Stewart, later known as Robert III of Scotland, was King of Scots from 1390 to 1406 and the first monarch of the Stewart dynasty to rule under the name "Robert."
  • B. John Stewart
    John Stewart is the father of American actress Kristen Stewart, known for his work behind the scenes in the entertainment industry as a stage manager and television producer.
  • C. John Stewart
    John Stewart is a prominent DC Comics superhero best known as one of the primary Green Lanterns of Earth, a former U.S. Marine and architect who wields a power ring fueled by willpower.
  • D. John Stewart
    John Stewart was an American folk musician and singer-songwriter best known for his work with the Kingston Trio and for writing the hit song "Daydream Believer."
  • E. Ian Buchanan
    Ian Buchanan is a Scottish television and film actor known for roles in series like "Twin Peaks" and "General Hospital" as well as various feature films.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide. chosen

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_69c6882b3a108190b3a9eb343ae4162c completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6ae74fd90819091d67eec6381d5e0 completed March 27, 2026, 4:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6cba5cc708190a8748160a7878b8f completed March 27, 2026, 6:25 p.m.
Created at: March 27, 2026, 1:54 p.m.