Triple

T13580702
Position Surface form Disambiguated ID Type / Status
Subject John Pankow E324407 entity
Predicate hasRelative P367 FINISHED
Object James Pankow E744615 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: James Pankow | Statement: [John Pankow, hasRelative, James Pankow]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: James Pankow
Context triple: [John Pankow, hasRelative, James Pankow]
  • A. James Pankow chosen
    James Pankow is an American trombonist, composer, and founding member of the rock band Chicago, known for his influential horn arrangements and songwriting.
  • B. John Pankow
    John Pankow is an American actor best known for his role as Ira Buchman on the television sitcom "Mad About You" and for numerous supporting roles in film and theater.
  • C. Bill Pankow
    Bill Pankow is an American film editor known for his work on numerous feature films, including crime and thriller dramas.
  • D. Hal Bidlack
    Hal Bidlack is an American political science professor, retired U.S. Air Force officer, and public speaker known for his work in skepticism and secular humanism.
  • E. Sam Jaffe
    Sam Jaffe was an American actor and character performer known for memorable roles in classic films such as "Gunga Din," "The Asphalt Jungle," and "Ben-Hur."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d80769100c819099111274614f5ed2 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbb03052088190a2b68c106059828e completed April 12, 2026, 2:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7942a29b88190acefc8b3b91d849f completed May 3, 2026, 6:30 p.m.
Created at: April 9, 2026, 9:48 p.m.