Triple
T6372156
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NETPAC |
E143374
|
entity |
| Predicate | givesAwardFor |
P107
|
FINISHED |
| Object | best Asian film |
—
|
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: best Asian film | Statement: [NETPAC, givesAwardFor, best Asian film]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: givesAwardFor Context triple: [NETPAC, givesAwardFor, best Asian film]
-
A.
awardFor
chosen
Indicates that something is given or granted as recognition or a prize for a particular achievement, work, or contribution.
-
B.
awardTo
Indicates that an award, prize, or honor is given or assigned to a particular recipient.
-
C.
canAward
Indicates that one entity has the authority or ability to grant an award, honor, or recognition to another entity.
-
D.
awardsQualificationTo
Indicates that one entity grants or confers a qualification, certification, or credential to another entity.
-
E.
hasAwarded
Indicates that one entity has given or conferred an award to another entity.
- 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_69c008d8c61081908bcaf61510d881ed |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c06829d76c819092b476631459233a |
completed | March 22, 2026, 10:07 p.m. |
| PD | Predicate disambiguation | batch_69c060ee055081908c79a1d151bd74cd |
completed | March 22, 2026, 9:36 p.m. |
Created at: March 22, 2026, 4:33 p.m.