Triple

T15311886
Position Surface form Disambiguated ID Type / Status
Subject Failure to Launch E366056 entity
Predicate hasCastMember P2308 FINISHED
Object Sarah Jessica Parker E140865 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: Sarah Jessica Parker | Statement: [Failure to Launch, hasCastMember, Sarah Jessica Parker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sarah Jessica Parker
Context triple: [Failure to Launch, hasCastMember, 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 (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_69d85a113ee881908e297a1d38dd79fa completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03cd2d5a88190aead748920f93d47 completed April 16, 2026, 1:35 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff01e70a308190a7d6b91178c39bd3 completed May 9, 2026, 9:44 a.m.
Created at: April 10, 2026, 3:16 a.m.