Triple
T18007971
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Sultan |
E430803
|
entity |
| Predicate | voiceActor |
P1507
|
FINISHED |
| Object | Val Bettin |
—
|
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: Val Bettin | Statement: [The Sultan, voiceActor, Val Bettin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Val Bettin Context triple: [The Sultan, voiceActor, Val Bettin]
-
A.
Val Bettin
chosen
Val Bettin was an English-American character actor best known for his distinctive voice work in animated films and television, including roles in Disney productions.
-
B.
Bettola
Bettola is a small Italian town in the Emilia-Romagna region, known for its scenic Apennine setting and traditional rural character.
-
C.
Val Brembana
Val Brembana is an alpine valley in the Lombardy region of northern Italy, known for its mountain landscapes, traditional villages, and outdoor recreation.
-
D.
Valdaora
Valdaora is a picturesque alpine municipality in South Tyrol, northern Italy, known for its mountain scenery and proximity to the Dolomites.
-
E.
Bardineto
Bardineto is a small municipality in the Liguria region of northwestern Italy, known for its mountainous surroundings and proximity to the Ligurian Alps.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b904530081908bf341d842464856 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4b51d44088190bfcd35e532a4c02a |
completed | April 19, 2026, 10:57 a.m. |
Created at: April 10, 2026, 10:24 a.m.