Triple

T13128341
Position Surface form Disambiguated ID Type / Status
Subject Stella Kowalski E311901 entity
Predicate sibling P363 FINISHED
Object Blanche DuBois E183463 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: Blanche DuBois | Statement: [Stella Kowalski, sibling, Blanche DuBois]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Blanche DuBois
Context triple: [Stella Kowalski, sibling, Blanche DuBois]
  • A. Blanche DuBois chosen
    Blanche DuBois is the fragile, delusional Southern belle at the center of Tennessee Williams' play "A Streetcar Named Desire," whose psychological unraveling drives the story's tragic arc.
  • B. Blanche Devereaux
    Blanche Devereaux is a flirtatious, glamorous Southern belle and one of the four central housemates in the classic sitcom "The Golden Girls."
  • C. Blanche
    Blanche is a feminine given name of French origin historically associated with nobility and literary figures.
  • D. Blanche Baker
    Blanche Baker is an American actress known for her roles in film, television, and theater, including a supporting part in the 1990 adaptation of The Handmaid's Tale.
  • E. Blanche Hanalis
    Blanche Hanalis was an American television writer and producer best known for adapting and developing popular family-oriented series and literary works for TV.
  • 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_69d806a9fe888190b081e2d9ea665d6c completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d9819aac388190b59bf43cc6a49d0c completed April 10, 2026, 11:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6ff09a964819097fbb37a7f11eac5 completed May 3, 2026, 7:53 a.m.
Created at: April 9, 2026, 9:07 p.m.