Triple

T1235556
Position Surface form Disambiguated ID Type / Status
Subject Sex and the City (film) E26539 entity
Predicate producer P490 FINISHED
Object Kim Cattrall E136503 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: Kim Cattrall | Statement: [Sex and the City (film), producer, Kim Cattrall]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kim Cattrall
Context triple: [Sex and the City (film), producer, Kim Cattrall]
  • A. Kim Cattrall chosen
    Kim Cattrall is a British-Canadian actress best known for her role as Samantha Jones in the television series "Sex and the City."
  • B. Cynthia Nixon
    Cynthia Nixon is an American actress and activist best known for her role as Miranda Hobbes in the television series "Sex and the City" and its related films.
  • C. Candice Bergen
    Candice Bergen is an American actress and former fashion model best known for her Emmy-winning role as the sharp-tongued journalist Murphy Brown on the hit television sitcom of the same name.
  • D. Glenn Close
    Glenn Close is an acclaimed American actress known for her powerful performances in film, television, and theater, with multiple Academy Award and Tony Award nominations and wins.
  • E. Ellen Barkin
    Ellen Barkin is an American actress known for her intense, edgy performances in film and television, including prominent roles in movies like "The Big Easy" and the TV series "Animal Kingdom."
  • 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_69a4948571c88190a9191e451e6035fd completed March 1, 2026, 7:33 p.m.
NER Named-entity recognition batch_69a4bf169868819090cfab7e34c40c67 completed March 1, 2026, 10:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad1591390881909593666218a3533b completed March 8, 2026, 6:22 a.m.
Created at: March 1, 2026, 7:47 p.m.