Triple
T16685234
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Herbert Wise |
E405445
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Herbert Wise |
E405445
|
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: Herbert Wise | Statement: [Herbert Wise, name, Herbert Wise]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Herbert Wise Context triple: [Herbert Wise, name, Herbert Wise]
-
A.
Herbert Wise
chosen
Herbert Wise was a British television and film director best known for his acclaimed work on period dramas and literary adaptations.
-
B.
Herbert Woods
Herbert Woods is best known as the husband of renowned American harpist and businesswoman Sylvia Woods.
-
C.
Herbert Horne
Herbert Horne was a British designer, typographer, art historian, and key figure in the Arts and Crafts movement who helped shape late 19th-century artistic and craft reform in England.
-
D.
Herbert Clarke
Herbert Clarke was a British ice hockey player who competed at the 1924 Winter Olympics in Chamonix, France.
-
E.
Herbert Fisher
Herbert Fisher was a British historian and Liberal politician who served as President of the Board of Education in the early 20th century.
- 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_69d8838c28748190b3f5967c743940ab |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37ea550c0819085bd36c44237a61a |
completed | April 18, 2026, 12:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00b27dcef481909ccfe4d3d604b1de |
completed | May 10, 2026, 4:29 p.m. |
Created at: April 10, 2026, 5:19 a.m.