Triple
T36272974
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | All of It |
E892724
|
entity |
| Predicate | hasNationalityOfLeadPerformer |
P198156
|
FINISHED |
| Object | British |
—
|
LITERAL 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: British | Statement: [All of It, hasNationalityOfLeadPerformer, British]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNationalityOfLeadPerformer Context triple: [All of It, hasNationalityOfLeadPerformer, British]
-
A.
performingArtistNationality
Indicates the nationality or country of origin of the artist who performs a given work or performance.
-
B.
hasLeadActorNationality
chosen
Indicates that the nationality of the lead actor in a work is a specified country or nationality.
-
C.
originalPerformerNationality
Indicates the country or national identity associated with the performer who first performed the work or role.
-
D.
performerLaterNationality
Indicates that the performer acquired or held this nationality at a later point in their life, after an earlier or original nationality.
-
E.
hasHonoredArtistNationality
Indicates that an honored artist has a specific nationality associated with their recognition.
- 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_69f76e488f34819083e254dbe288c27a |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69ff795d25d08190b7584c72be39d309 |
completed | May 9, 2026, 6:13 p.m. |
| PD | Predicate disambiguation | batch_69ff78a90fbc8190a62c57456dc1d4ad |
completed | May 9, 2026, 6:10 p.m. |
Created at: May 3, 2026, 4:09 p.m.