Triple

T18085619
Position Surface form Disambiguated ID Type / Status
Subject Philip Treacy E432825 entity
Predicate designedHeadwearFor P40514 FINISHED
Object Sarah Jessica Parker 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: Sarah Jessica Parker | Statement: [Philip Treacy, designedHeadwearFor, Sarah Jessica Parker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sarah Jessica Parker
Context triple: [Philip Treacy, designedHeadwearFor, Sarah Jessica Parker]
  • A. Sarah Jessica Parker chosen
    Sarah Jessica Parker is an American actress and producer best known for her iconic role as Carrie Bradshaw in the "Sex and the City" television series and films.
  • 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. Kim Cattrall
    Kim Cattrall is a British-Canadian actress best known for her role as Samantha Jones in the television series "Sex and the City."
  • D. Sydney Anne Neuwirth
    Sydney Anne Neuwirth is the daughter of American actress, singer, and dancer Bebe Neuwirth.
  • E. Suzanne Bianchetti
    Suzanne Bianchetti was a prominent early 20th-century French film actress whose legacy is honored by a namesake award for young actresses.
  • 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_69d8b907d05c819083cc3bd6021089e6 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4d9fdb00c8190b4769699e94c8941 completed April 19, 2026, 1:34 p.m.
Created at: April 10, 2026, 10:27 a.m.