Triple

T21994196
Position Surface form Disambiguated ID Type / Status
Subject Tell Me a Story E543161 entity
Predicate stars P1956 FINISHED
Object Kim Cattrall 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: Kim Cattrall | Statement: [Tell Me a Story, stars, Kim Cattrall]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kim Cattrall
Context triple: [Tell Me a Story, stars, 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. Elizabeth Berridge
    Elizabeth Berridge is an American actress best known for her role as Constanze Mozart in the Academy Award–winning film "Amadeus."
  • D. Claudia Rose Pfeiffer
    Claudia Rose Pfeiffer is the adopted daughter of acclaimed American actress Michelle Pfeiffer.
  • E. Lee Russo
    Lee Russo is known as the spouse of American television host and film critic Ben Mankiewicz.
  • 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_69e11e2c814c8190837d072789000486 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f127639bf48190800b3fa3c1527983 completed April 28, 2026, 9:32 p.m.
Created at: April 16, 2026, 8:17 p.m.