Triple
T12216187
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Silver Bear for Best Supporting Actor |
E291090
|
entity |
| Predicate | hasAwardedPerformanceType |
P42173
|
FINISHED |
| Object | individual performance |
—
|
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: individual performance | Statement: [Silver Bear for Best Supporting Actor, hasAwardedPerformanceType, individual performance]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAwardedPerformanceType Context triple: [Silver Bear for Best Supporting Actor, hasAwardedPerformanceType, individual performance]
-
A.
hasAwardedWorkType
Indicates that an entity has granted or is associated with a specific type or category of work that has received an award.
-
B.
hasAwardedEntityType
chosen
Indicates that a particular type or category of entity is the recipient of an award or recognition.
-
C.
hasSpecialAwardType
Indicates that an entity is associated with a specific kind or category of special award.
-
D.
hasAwarded
Indicates that one entity has given or conferred an award to another entity.
-
E.
isAwardedWithin
Indicates that an award or recognition is granted to an entity within a specified context, scope, or time frame.
- 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_69d6ab65923081909acfc61b7a612233 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d920e312708190b4aede2e21f5f697 |
completed | April 10, 2026, 4:10 p.m. |
| PD | Predicate disambiguation | batch_69d91c3d669c81908eea7ad61122d275 |
completed | April 10, 2026, 3:50 p.m. |
Created at: April 8, 2026, 9:51 p.m.