Triple

T11329251
Position Surface form Disambiguated ID Type / Status
Subject Mr. Peabody & Sherman E268299 entity
Predicate producer P490 FINISHED
Object Denise Nolan Cascino E406910 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 Nolan Cascino | Statement: [Mr. Peabody & Sherman, producer, Denise Nolan Cascino]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Denise Nolan Cascino
Context triple: [Mr. Peabody & Sherman, producer, Denise Nolan Cascino]
  • A. Denise Nolan Cascino chosen
    Denise Nolan Cascino is a film producer best known for her work on the animated feature "Megamind."
  • 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. Denise Nolan
    Denise Nolan is an English singer best known as a member of the family pop group The Nolans, who rose to fame in the late 1970s and 1980s.
  • D. Maria Colacurcio
    Maria Colacurcio is an American technology executive and entrepreneur best known as a co-founder of Smartsheet and for her leadership roles in data-driven workplace equity and HR tech companies.
  • E. Denise Di Novi
    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.
  • 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_69d6aacb1f0881908c84a349fd1be047 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e9e330008190b75490efde01dc59 completed April 9, 2026, 6:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69e8a6df121c8190a8522ce0e366013c completed April 22, 2026, 10:45 a.m.
Created at: April 8, 2026, 9:32 p.m.