Triple
T1136296
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blanche K. Bruce |
E23147
|
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 K. Bruce, givenName, Blanche]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Blanche Context triple: [Blanche K. Bruce, givenName, Blanche]
-
A.
Blanche
chosen
Blanche is a feminine given name of French origin historically associated with nobility and literary figures.
-
B.
Doris
Doris is an Oceanid from Greek mythology, known as the wife of the sea god Nereus and mother of the Nereids.
-
C.
Doris
Doris was the first wife of Herod the Great and the mother of his son Antipater in the Herodian royal family.
-
D.
Bernice
Bernice is a feminine given name most notably borne by Bernice King, the daughter of civil rights leaders Martin Luther King Jr. and Coretta Scott King.
-
E.
Marguerite
Marguerite is a French given name, equivalent to Margaret, commonly used for women and also meaning "daisy" in French.
- 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_69a493ec75988190b63a11bafaec29b4 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4bc2300c481908c60fbb1188c37c5 |
completed | March 1, 2026, 10:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac59ae5f20819093f8acc3ba7a6638 |
completed | March 7, 2026, 5 p.m. |
Created at: March 1, 2026, 7:44 p.m.