Triple

T23140301
Position Surface form Disambiguated ID Type / Status
Subject The Words E577441 entity
Predicate producer P490 FINISHED
Object Tatiana Kelly NE NERFINISHED

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: Tatiana Kelly | Statement: [The Words, producer, Tatiana Kelly]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tatiana Kelly
Context triple: [The Words, producer, Tatiana Kelly]
  • A. Tatiana Kelly chosen
    Tatiana Kelly is a film producer known for her work on projects such as the biographical spy drama "The Catcher Was a Spy."
  • B. Lisa Simone Kelly
    Lisa Simone Kelly is an American singer, actress, and producer, best known as the daughter and artistic heir of legendary musician Nina Simone.
  • C. Tatiana Grant
    Tatiana Grant is the daughter of Oscar Grant, whose 2009 killing by a transit police officer in Oakland drew national attention and helped galvanize the Black Lives Matter movement.
  • D. Taryn Van Dyke
    Taryn Van Dyke is a member of the Van Dyke family, known for its multi-generational involvement in American film and television.
  • E. Anastasia Hille
    Anastasia Hille is a British actress known for her work in film, television, and theatre, including roles in projects such as "Wanderlust" and various acclaimed stage productions.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e245f8e6248190ba3d58e068b4dccb completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f18ec922b481908084eee6a95aef83 completed April 29, 2026, 4:53 a.m.
Created at: April 17, 2026, 4 p.m.