Triple

T7755623
Position Surface form Disambiguated ID Type / Status
Subject Topper (1937 film) E175888 entity
Predicate screenwriter P2831 FINISHED
Object Jack Jevne E671190 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: Jack Jevne | Statement: [Topper (1937 film), screenwriter, Jack Jevne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jack Jevne
Context triple: [Topper (1937 film), screenwriter, Jack Jevne]
  • A. Jack Jevne chosen
    Jack Jevne was an American screenwriter active during the early to mid-20th century, known for his work on numerous Hollywood films.
  • B. Dan Janvey
    Dan Janvey is an American film producer known for his work on acclaimed independent films, including the Academy Award–winning "Nomadland."
  • C. Matthew Jensen
    Matthew Jensen is a cinematographer best known for his work on major films such as the 2017 superhero movie "Wonder Woman."
  • D. Evan Jonigkeit
    Evan Jonigkeit is an American actor known for his work in film, television, and theater, including roles in projects like "X-Men: Days of Future Past" and various independent productions.
  • E. Jonathan Krisel
    Jonathan Krisel is an American writer, director, and producer best known for his work in offbeat television comedy, including co-creating and directing the sketch series Portlandia.
  • 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_69c6996180088190832e38e8d83ff54a completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c703d9d8fc8190b51faeb081ee425f completed March 27, 2026, 10:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8ef0b6bb88190b5f98897ccbc07a6 completed March 29, 2026, 9:21 a.m.
Created at: March 27, 2026, 4:08 p.m.