Triple
T2200811
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Silver Bear for Best Actress |
E50482
|
entity |
| Predicate | hasAwardCategoryType |
P8623
|
FINISHED |
| Object | performance award |
—
|
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: performance award | Statement: [Silver Bear for Best Actress, hasAwardCategoryType, performance award]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAwardCategoryType Context triple: [Silver Bear for Best Actress, hasAwardCategoryType, performance award]
-
A.
hasCategoryWithinSameAwards
Indicates that two awards share at least one category within the same award event or series.
-
B.
hasNomineeType
Indicates that an entity has a nominee belonging to a specified type or category.
-
C.
hasAwardItem
Indicates that an entity possesses, is associated with, or has been granted a specific award item.
-
D.
hasAwardLevel
Indicates that an entity possesses or has been assigned a specific level, tier, or rank within an award or recognition system.
-
E.
hasAwardedWorkType
chosen
Indicates that an entity has granted or is associated with a specific type or category of work that has received an award.
- 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_69a88b044ab48190add007487680f009 |
completed | March 4, 2026, 7:41 p.m. |
| NER | Named-entity recognition | batch_69abbfa06bb4819092d7021358846e5f |
completed | March 7, 2026, 6:03 a.m. |
| PD | Predicate disambiguation | batch_69abbda706f4819094de73e1d1d1f539 |
completed | March 7, 2026, 5:54 a.m. |
Created at: March 4, 2026, 7:46 p.m.