Triple

T21878155
Position Surface form Disambiguated ID Type / Status
Subject Here Comes Mr. Jordan E540205 entity
Predicate castMember P1668 FINISHED
Object James Gleason 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: James Gleason | Statement: [Here Comes Mr. Jordan, castMember, James Gleason]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: James Gleason
Context triple: [Here Comes Mr. Jordan, castMember, James Gleason]
  • A. James Gleason chosen
    James Gleason was an American character actor and playwright known for his gruff, fast-talking roles in numerous Hollywood films from the 1920s through the 1950s.
  • B. James S. Gleason
    James S. Gleason is a notable member of the prominent Gleason family, recognized for his public and civic contributions.
  • C. James P. Gleason
    James P. Gleason was an American politician and public servant who served as the first elected County Executive of Montgomery County, Maryland.
  • D. Joseph Gleason
    Joseph Gleason is an individual notable enough to be recognized as a prominent bearer of the surname Gleason.
  • E. Eddie Albert
    Eddie Albert was an American actor best known for his roles in film and television, particularly the sitcom "Green Acres" and numerous classic Hollywood movies.
  • 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_69e0c479a98081908ce333853fdd4348 completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f0f33c012c819096d0f7b2ffdc7a2f completed April 28, 2026, 5:49 p.m.
Created at: April 16, 2026, 7:03 p.m.