Triple
T31557604
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oliver |
E805168
|
entity |
| Predicate | wasTopBoysNameIn |
P148438
|
FINISHED |
| Object | England and Wales |
—
|
NE NERFINISHED |
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: England and Wales | Statement: [Oliver, wasTopBoysNameIn, England and Wales]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wasTopBoysNameIn Context triple: [Oliver, wasTopBoysNameIn, England and Wales]
-
A.
wasTopGivenNameInCountry
Indicates that a given name held the highest popularity rank among all given names within a specified country for a particular time period.
-
B.
wasTopRankedNameInCountry
chosen
Indicates that a given name held the highest popularity ranking within a specified country during a particular time period.
-
C.
hasNameGivenTo
Indicates that one entity is the name that has been assigned or given to another entity.
-
D.
isOfficialNicknameOf
Indicates that one name is the formally recognized nickname or informal moniker used to refer to another entity.
-
E.
berberName
Indicates that an entity has a name expressed in the Berber (Amazigh) language.
- F. None of above.
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_69f348d22e088190ad555d5bd42f9da0 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6a8055f8081908f635fe04654b5fe |
completed | May 3, 2026, 1:42 a.m. |
| PD | Predicate disambiguation | batch_69f6a75656e081908739ed9e2f600e42 |
completed | May 3, 2026, 1:39 a.m. |
Created at: April 30, 2026, 10:13 p.m.