Triple
T8157255
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brenda de Banzie |
E190480
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | de Banzie |
E190480
|
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: de Banzie | Statement: [Brenda de Banzie, familyName, de Banzie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: de Banzie Context triple: [Brenda de Banzie, familyName, de Banzie]
-
A.
Brenda de Banzie
chosen
Brenda de Banzie was a British stage and film actress known for her strong character roles in mid-20th-century cinema and theatre.
-
B.
Eric Blore
Eric Blore was an English character actor best known for his comic portrayals of butlers and valets in 1930s and 1940s Hollywood films.
-
C.
Beyton
Beyton is a small rural village and civil parish in the English county of Suffolk, known for its traditional village green and historic buildings.
-
D.
Bazza
Bazza is a common Australian diminutive or nickname for the given name Barry.
-
E.
Oden Bowie
Oden Bowie was a 19th-century American politician who served as governor of Maryland and for whom the community of Bowie, Maryland is named.
- 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_69ca82bfeb6481909d07b91b5cf69f59 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb44da14a481909f8d3277762b0e75 |
completed | March 31, 2026, 3:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ccbf18c30c8190bdd98c4f0c2d28ea |
completed | April 1, 2026, 6:45 a.m. |
Created at: March 30, 2026, 5:37 p.m.