Triple

T14749064
Position Surface form Disambiguated ID Type / Status
Subject Tommy Barban E346554 entity
Predicate associatedWith P37 FINISHED
Object Nicole Diver E346553 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: Nicole Diver | Statement: [Tommy Barban, associatedWith, Nicole Diver]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nicole Diver
Context triple: [Tommy Barban, associatedWith, Nicole Diver]
  • A. Nicole Diver chosen
    Nicole Diver is a central character in F. Scott Fitzgerald’s novel "Tender Is the Night," portrayed as a wealthy American woman whose struggles with mental illness and complex marriage drive much of the story’s emotional and psychological drama.
  • B. Nicole Parker
    Nicole Parker is an American actress and comedian best known for her sketch work on MADtv and roles in parody films.
  • C. Nicole Lyn
    Nicole Lyn is a Canadian actress best known for her work in television series such as "Student Bodies" and various film and voice roles.
  • D. Nicole
    Nicole is a fictional character played by English actress Kelly Reilly, known from her work in film and television dramas.
  • E. Nicole
    Nicole is a fictional character from the American sitcom "The Gregory Hines Show."
  • 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_69d822e6f1c88190bc494d491a907114 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dec7d2e1748190b16ede681fe52872 completed April 14, 2026, 11:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe64f0d948819080cc759ca599503d completed May 8, 2026, 10:34 p.m.
Created at: April 10, 2026, 1:30 a.m.