Triple
T32841060
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Allan Glover |
E839969
|
entity |
| Predicate | basedInCountryDuringCareer |
P103056
|
FINISHED |
| Object | England |
—
|
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 | Statement: [Allan Glover, basedInCountryDuringCareer, England]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: basedInCountryDuringCareer Context triple: [Allan Glover, basedInCountryDuringCareer, England]
-
A.
projectCountryAtTheTime
Indicates the country with which a project was associated at the specific time or period in question.
-
B.
countryOfOriginForMusicCareer
Indicates the country where an artist’s professional music career was primarily started or established.
-
C.
countryOf
Indicates that one entity is the country to which another entity belongs, is located in, or is associated with.
-
D.
locationCountryAtTheTime
chosen
Indicates that an entity was located in a specified country during a particular time or time period.
-
E.
countryOfBirthAtTime
Indicates that an entity was born in a specified country, with the relationship qualified by a particular point or interval in time.
- 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_69f3493ff0888190b51e974eae2a7834 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69fe8f74748c8190bd14a856c057f9f7 |
completed | May 9, 2026, 1:35 a.m. |
| PD | Predicate disambiguation | batch_69fe8e7ed8088190929e0df67aca4de9 |
completed | May 9, 2026, 1:31 a.m. |
Created at: May 1, 2026, 1:16 a.m.