Triple
T23954388
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peter O'Toole as Prince Meleagre |
E603741
|
entity |
| Predicate | basedOnPerformerNationality |
P3285
|
FINISHED |
| Object | British actor |
—
|
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 actor | Statement: [Peter O'Toole as Prince Meleagre, basedOnPerformerNationality, British actor]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: basedOnPerformerNationality Context triple: [Peter O'Toole as Prince Meleagre, basedOnPerformerNationality, British actor]
-
A.
performingArtistNationality
chosen
Indicates the nationality or country of origin of the artist who performs a given work or performance.
-
B.
originalPerformerNationality
Indicates the country or national identity associated with the performer who first performed the work or role.
-
C.
hasPerformerContinent
Indicates that the performer involved in an event or work is associated with a specific continent.
-
D.
primaryArtistNationality
Indicates the nationality associated with the main or primary artist involved in a work or context.
-
E.
featuredArtistNationality
Indicates the nationality associated with an artist who is prominently featured in a work or event.
- 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_69e2954222288190a7323554d0cca8d7 |
completed | April 17, 2026, 8:17 p.m. |
| NER | Named-entity recognition | batch_69f1d0d616ec81908c796894f40f3015 |
completed | April 29, 2026, 9:35 a.m. |
| PD | Predicate disambiguation | batch_69f1615518088190a206f54e2fdb14a3 |
completed | April 29, 2026, 1:39 a.m. |
Created at: April 17, 2026, 9:21 p.m.