Triple

T12717096
Position Surface form Disambiguated ID Type / Status
Subject Natasha Naginsky E303873 entity
Predicate associatedWith P37 FINISHED
Object Carrie Bradshaw E528023 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: Carrie Bradshaw | Statement: [Natasha Naginsky, associatedWith, Carrie Bradshaw]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Carrie Bradshaw
Context triple: [Natasha Naginsky, associatedWith, Carrie Bradshaw]
  • A. Carrie Bradshaw chosen
    Carrie Bradshaw is the fashion-forward, introspective writer and central protagonist of the television series "Sex and the City," known for her newspaper column about love and relationships in New York City.
  • B. Miranda Hobbes
    Miranda Hobbes is a sharp, career-driven lawyer and one of the four central friends in the Sex and the City franchise.
  • C. Liz Lemon
    Liz Lemon is the neurotic, quick-witted head writer of a sketch comedy show and the central character of the television series "30 Rock."
  • D. Andrea Sachs
    Andrea Sachs is the ambitious young journalist who becomes the overworked assistant to powerful fashion editor Miranda Priestly in "The Devil Wears Prada."
  • E. Amy Schor Ferris
    Amy Schor Ferris is an American author, screenwriter, and feminist essayist known for her candid, humorous explorations of women’s lives, aging, and identity.
  • 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_69d7bdf084148190ab9d513dc0735af4 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9620bd6148190a2f50067a4c18c14 completed April 10, 2026, 8:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f671bcc10481909f150989f9545752 completed May 2, 2026, 9:50 p.m.
Created at: April 9, 2026, 5:23 p.m.