Triple

T19437383
Position Surface form Disambiguated ID Type / Status
Subject The Parisian Woman E486257 entity
Predicate castMember P1668 FINISHED
Object Uma Thurman 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: Uma Thurman | Statement: [The Parisian Woman, castMember, Uma Thurman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Uma Thurman
Context triple: [The Parisian Woman, castMember, Uma Thurman]
  • A. Uma Thurman chosen
    Uma Thurman is an American actress and model best known for her roles in films such as "Pulp Fiction" and the "Kill Bill" series.
  • B. Jennifer Keaton
    Jennifer Keaton is the youngest daughter in the Keaton family on the 1980s sitcom "Family Ties," known for her tomboyish personality and close relationship with her siblings.
  • C. Gina Gershon
    Gina Gershon is an American actress known for her versatile roles in film, television, and theater, including standout performances in movies like "Bound" and "Showgirls."
  • D. Jennifer Jason Leigh
    Jennifer Jason Leigh is an American actress known for her intense, character-driven performances in films such as "Fast Times at Ridgemont High," "Single White Female," and "The Hateful Eight."
  • E. Famke Janssen
    Famke Janssen is a Dutch actress and former fashion model best known for her roles in the X-Men film series and the James Bond film GoldenEye.
  • 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_69d8e8d7ad488190a3373045029b0f3b completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e633618c2881908f3d2a9cabb02289 completed April 20, 2026, 2:08 p.m.
Created at: April 10, 2026, 1:38 p.m.