Triple

T6161729
Position Surface form Disambiguated ID Type / Status
Subject Blue Jasmine E137457 entity
Predicate character P662 FINISHED
Object Jasmine French E574174 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: Jasmine French | Statement: [Blue Jasmine, character, Jasmine French]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jasmine French
Context triple: [Blue Jasmine, character, Jasmine French]
  • A. Jasmine French chosen
    Jasmine French is the troubled, once-wealthy New York socialite at the center of Woody Allen’s film "Blue Jasmine," whose life unravels after her husband's financial crimes are exposed.
  • B. Jasmine Mathews
    Jasmine Mathews is an American actress known for her role in the sci-fi action film "The Tomorrow War" and appearances in various television series.
  • C. Jemima French
    Jemima French is a British fashion designer and co-founder of the label FrostFrench, known for her work alongside actress and designer Sadie Frost.
  • D. Michelle French
    Michelle French is an American soccer coach and former U.S. international player known for leading the University of Portland Pilots women's soccer program.
  • E. Jasmine Marin
    Jasmine Marin is the daughter of American comedian and actor Cheech Marin, known for his work in the Cheech & Chong comedy duo.
  • 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_69c008a54fc88190b6ce4416490ca79d completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c05d371484819090c18b62b095b49e completed March 22, 2026, 9:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69c16ee26ed8819084a5cfd84ba9564e completed March 23, 2026, 4:48 p.m.
Created at: March 22, 2026, 4:17 p.m.