Triple

T15711854
Position Surface form Disambiguated ID Type / Status
Subject 20 Feet from Stardom E380857 entity
Predicate editedBy P1954 FINISHED
Object Jason Zeldes E684674 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: Jason Zeldes | Statement: [20 Feet from Stardom, editedBy, Jason Zeldes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jason Zeldes
Context triple: [20 Feet from Stardom, editedBy, Jason Zeldes]
  • A. Jason Zeldes chosen
    Jason Zeldes is a film editor known for his work on acclaimed documentaries, including "The Music of Strangers: Yo-Yo Ma and the Silk Road Ensemble."
  • B. Jonathan Zalben
    Jonathan Zalben is a film and television composer known for scoring a variety of independent features and documentaries.
  • C. Jim Zalesky
    Jim Zalesky is an American wrestling coach and former collegiate champion best known for leading the University of Iowa Hawkeyes wrestling program to multiple NCAA team titles in the 1990s and early 2000s.
  • D. David Zelon
    David Zelon is a film producer best known for working on action and thriller movies, including the underwater adventure film "Into the Blue."
  • E. Jay Landsman
    Jay Landsman is a Baltimore police sergeant and homicide supervisor best known as a character in the television series "The Wire," inspired by and partly portrayed by the real-life Baltimore detective of the same name.
  • 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_69d86d9bf930819082b30cf6d169297c completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e04f8f5d6081908243fa59b46b7c76 completed April 16, 2026, 2:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff757f571881908015fe68df2a5e69 completed May 9, 2026, 5:57 p.m.
Created at: April 10, 2026, 4:45 a.m.