Triple

T6457061
Position Surface form Disambiguated ID Type / Status
Subject Sex and the City E142019 entity
Predicate mainCharacter P1183 FINISHED
Object Charlotte York E182121 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: Charlotte York | Statement: [Sex and the City, mainCharacter, Charlotte York]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Charlotte York
Context triple: [Sex and the City, mainCharacter, Charlotte York]
  • A. Charlotte York chosen
    Charlotte York is a prim, romantic, and traditional art dealer and one of the four central female protagonists in the Sex and the City franchise.
  • B. Charlotte Godfrey
    Charlotte Godfrey was an 18th-century English gentlewoman best known as the mother of British admiral Edward Boscawen.
  • C. Charlotte Greenwood
    Charlotte Greenwood was an American actress, comedian, and dancer best known for her lanky physical comedy and memorable supporting roles in stage and film musicals.
  • D. Kate Norley
    Kate Norley is an American Iraq War veteran and veterans’ rights advocate who served as a U.S. Army combat medic and is married to comedian and television host John Oliver.
  • E. Susannah York
    Susannah York was an acclaimed English actress known for her versatile performances in film, television, and theatre during the 1960s and 1970s.
  • 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_69c008d2f91c8190a8178767a35e08fc completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c069d639ec8190bb0a806da4118440 completed March 22, 2026, 10:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69c64bdef4a881908f3d7b6eefab7def completed March 27, 2026, 9:20 a.m.
Created at: March 22, 2026, 4:48 p.m.