Triple

T15780638
Position Surface form Disambiguated ID Type / Status
Subject Dinesh Chugtai E382603 entity
Predicate createdBy P806 FINISHED
Object John Altschuler 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 Altschuler | Statement: [Dinesh Chugtai, createdBy, John Altschuler]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Altschuler
Context triple: [Dinesh Chugtai, createdBy, John Altschuler]
  • A. John Altschuler chosen
    John Altschuler is an American television writer and producer best known for co-creating and producing the animated series "King of the Hill" and "Silicon Valley."
  • B. Max Rosenthal
    Max Rosenthal is a notable individual recognized for achievements significant enough to be distinctly associated with the surname Rosenthal.
  • C. Morton Gottlieb
    Morton Gottlieb was an American theatrical and film producer best known for his work on acclaimed stage plays and character-driven movies.
  • D. Morris Weinstein
    Morris Weinstein, better known by his stage name Jack Weston, was an American character actor recognized for his work in film, television, and theater from the 1950s through the 1980s.
  • E. Leo Salkin
    Leo Salkin was an American animator, writer, and storyboard artist known for his work on mid-20th-century animated films and shorts.
  • 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_69d86da09a10819082fe9797b23e4664 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e053fea90081908e3fe4f91475bead completed April 16, 2026, 3:14 a.m.
Created at: April 10, 2026, 4:48 a.m.