Triple

T12947413
Position Surface form Disambiguated ID Type / Status
Subject Life as We Know It E309805 entity
Predicate producer P490 FINISHED
Object Denise Di Novi E152988 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: Denise Di Novi | Statement: [Life as We Know It, producer, Denise Di Novi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Denise Di Novi
Context triple: [Life as We Know It, producer, Denise Di Novi]
  • A. Denise Di Novi chosen
    Denise Di Novi is an American film producer known for her work on numerous popular films, including several Tim Burton projects and acclaimed literary adaptations.
  • B. Denise Lombardo
    Denise Lombardo is an American woman best known as the first wife of former stockbroker and convicted fraudster Jordan Belfort, whose life inspired the film "The Wolf of Wall Street."
  • C. Deanna Piatelli
    Deanna Piatelli is known as the spouse of Jack Dempsey.
  • D. Barbara De Fina
    Barbara De Fina is an American film producer best known for her frequent collaborations with director Martin Scorsese on acclaimed films throughout the 1980s and 1990s.
  • E. Diane D'Aquila
    Diane D'Aquila is a Canadian-American actress known for her extensive work in theatre, film, and television, particularly for her performances in Shakespearean roles and Canadian productions.
  • 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_69d7bdfb57a88190836b743e2825feca completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d97e1c67b8819094e5243267f93ce2 completed April 10, 2026, 10:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f75d7a9e6c81908ae78daace02e7ec completed May 3, 2026, 2:36 p.m.
Created at: April 9, 2026, 5:43 p.m.