Triple
T2789278
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blanche of Valois |
E61889
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Blanche |
E36272
|
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 | Statement: [Blanche of Valois, givenName, Blanche]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Blanche Context triple: [Blanche of Valois, givenName, Blanche]
-
A.
Blanche
chosen
Blanche is a feminine given name of French origin historically associated with nobility and literary figures.
-
B.
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.
-
C.
Blanche Devereaux
Blanche Devereaux is a flirtatious, glamorous Southern belle and one of the four central housemates in the classic sitcom "The Golden Girls."
-
D.
Blanchette
Blanchette is a French feminine given name and diminutive form of Blanche, traditionally meaning "white" or "fair."
-
E.
Doris
Doris is an Oceanid from Greek mythology, known as the wife of the sea god Nereus and mother of the Nereids.
- 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_69ab4b7f51d881908768300ebd2fbdae |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abddb3d63c8190b3ab5fa363c69db8 |
completed | March 7, 2026, 8:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afc6589558819088442f09db328dac |
completed | March 10, 2026, 7:20 a.m. |
Created at: March 6, 2026, 9:58 p.m.