Triple

T14711126
Position Surface form Disambiguated ID Type / Status
Subject Loosies E345548 entity
Predicate editedBy P1954 FINISHED
Object Jeffrey Wolf E731049 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: Jeffrey Wolf | Statement: [Loosies, editedBy, Jeffrey Wolf]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jeffrey Wolf
Context triple: [Loosies, editedBy, 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. Jeffrey Reiner
    Jeffrey Reiner is an American television director, producer, and writer known for his work on series such as Friday Night Lights and The Affair.
  • 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_69d822e4a8c08190a155df736bb7bc13 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb9814e0c8190984ac30d276499cc completed April 14, 2026, 10:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69fef885b07c8190af5e33303af9fbea completed May 9, 2026, 9:04 a.m.
Created at: April 10, 2026, 1:28 a.m.