Triple
T22947992
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | George Devereaux |
E569925
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Blanche Devereaux |
—
|
NE NERFINISHED |
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 Devereaux | Statement: [George Devereaux, spouse, Blanche Devereaux]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Blanche Devereaux Context triple: [George Devereaux, spouse, Blanche Devereaux]
-
A.
Blanche Devereaux
chosen
Blanche Devereaux is a flirtatious, glamorous Southern belle and one of the four central housemates in the classic sitcom "The Golden Girls."
-
B.
Blanche Amory
Blanche Amory is a flirtatious, manipulative young woman in William Makepeace Thackeray’s novel "Pendennis," known for her coquetry and ambition in Victorian society.
-
C.
Blanche DuBois
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.
-
D.
Blanche
Blanche is a Paris Métro station located in the Montmartre area, serving Line 2 near the Moulin Rouge.
-
E.
Blanche
Blanche is a feminine given name of French origin historically associated with nobility and literary figures.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e2459199d08190a8184ee2aa935842 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1819fbf8c8190ad80c93f1507aa73 |
completed | April 29, 2026, 3:57 a.m. |
Created at: April 17, 2026, 3:46 p.m.