Triple

T2835012
Position Surface form Disambiguated ID Type / Status
Subject L.A. Story E62327 entity
Predicate starring P1507 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: [L.A. Story, starring, Sarah Jessica Parker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sarah Jessica Parker
Context triple: [L.A. Story, starring, 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. Bebe Neuwirth
    Bebe Neuwirth is an American actress, singer, and dancer best known for her Tony-winning Broadway work and her Emmy-winning role as Dr. Lilith Sternin on the television series "Cheers" and "Frasier."
  • E. Debi Mazar
    Debi Mazar is an American actress known for her sharp-tongued, tough-chic roles in films and television series such as "Goodfellas," "Entourage," and "Younger."
  • 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_69ab4c3c39188190955b9c49d98463d8 completed March 6, 2026, 9:50 p.m.
NER Named-entity recognition batch_69abdeea881481908d759c72798a50fb completed March 7, 2026, 8:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69afe8c45c548190ac67b94a845cc730 completed March 10, 2026, 9:47 a.m.
Created at: March 6, 2026, 10:01 p.m.