Triple
T22099564
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Golden Horse Award for Best Supporting Actor (Bokeh Kosang) |
E546131
|
entity |
| Predicate | regionOfAward |
P146981
|
FINISHED |
| Object | Chinese-language cinema |
—
|
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: Chinese-language cinema | Statement: [Golden Horse Award for Best Supporting Actor (Bokeh Kosang), regionOfAward, Chinese-language cinema]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: regionOfAward Context triple: [Golden Horse Award for Best Supporting Actor (Bokeh Kosang), regionOfAward, Chinese-language cinema]
-
A.
regionOfWinner
Indicates the geographic area or region that the winner of a competition, contest, or event comes from.
-
B.
continentOfAwardingCountry
Indicates the continent on which the country that granted or issued the award is located.
-
C.
countryOfAwarding
Indicates the country that officially granted or conferred a particular award, honor, or recognition.
-
D.
regionWinner
Indicates that an entity is the winner of a specified region in a competition, contest, or selection process.
-
E.
registrationRegion
Indicates the geographic or administrative region in which an entity is officially registered.
- F. None of above. chosen
Provenance (4 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_69e11e378dc08190896d6a51597afd5a |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f1291440048190992c48893ced0b34 |
completed | April 28, 2026, 9:39 p.m. |
| PD | Predicate disambiguation | batch_69e71b20ec50819096ac196c798f8e3c |
completed | April 21, 2026, 6:37 a.m. |
| PDg | Predicate description generation | batch_69e7222d208c819098b12c13e31af629 |
completed | April 21, 2026, 7:07 a.m. |
Created at: April 16, 2026, 8:30 p.m.