Triple

T18944013
Position Surface form Disambiguated ID Type / Status
Subject The Suburbans E463459 entity
Predicate editor P1954 FINISHED
Object Jeffrey Wolf 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: Jeffrey Wolf | Statement: [The Suburbans, editor, Jeffrey Wolf]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jeffrey Wolf
Context triple: [The Suburbans, editor, Jeffrey Wolf]
  • A. Jeffrey Wolf chosen
    Jeffrey Wolf is a film editor known for his work on feature films such as the 1996 drama "Beautiful Girls."
  • B. 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."
  • C. Jeffrey Resnick
    Jeffrey Resnick is an individual notable enough to be specifically identified as a bearer of the Resnick surname, though detailed public information about his achievements or role is limited.
  • D. Johnny Gandelsman
    Johnny Gandelsman is a Grammy-winning violinist and producer known for his work with ensembles like Brooklyn Rider and the Silk Road Ensemble, as well as for his innovative solo projects.
  • E. Glen Wexler
    Glen Wexler is an American photographer and digital imaging pioneer best known for his imaginative, surreal album covers and advertising work.
  • 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_69d8dcfec90481909e926be9767e5779 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d53e6e0c81908a547e21c4819bac completed April 20, 2026, 7:26 a.m.
Created at: April 10, 2026, 11:59 a.m.