Triple
T14765726
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maple Sylvie Bateman |
E346988
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Bateman |
E1119334
|
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: Bateman | Statement: [Maple Sylvie Bateman, familyName, Bateman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bateman Context triple: [Maple Sylvie Bateman, familyName, Bateman]
-
A.
Bateman
chosen
Bateman is a surname of English origin borne by various notable individuals in fields such as acting, sports, and politics.
-
B.
Bateman's
Bateman's is a 17th-century sandstone house in East Sussex, England, best known as the former home of author Rudyard Kipling and now preserved by the National Trust.
-
C.
Beatson
Beatson is an alternative spelling or variant form of the surname Bateson.
-
D.
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.
-
E.
Bennett
Bennett is a common English-language surname of Anglo-Norman origin borne by numerous notable individuals across politics, arts, and sciences.
- 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_69d822e8896c819091169882f9b20486 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dec7f576c881909da70627f5897c94 |
completed | April 14, 2026, 11:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe24b1ff0c81908d5dffbaf86c3ca3 |
completed | May 8, 2026, 6 p.m. |
Created at: April 10, 2026, 1:30 a.m.