Triple
T33096881
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oscars 2016 |
E846932
|
entity |
| Predicate | numberOfActingCategoriesWithNoNonWhiteNominees |
P203935
|
FINISHED |
| Object | 4 |
—
|
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: 4 | Statement: [Oscars 2016, numberOfActingCategoriesWithNoNonWhiteNominees, 4]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfActingCategoriesWithNoNonWhiteNominees Context triple: [Oscars 2016, numberOfActingCategoriesWithNoNonWhiteNominees, 4]
-
A.
academyAwardsNominationsCount
Indicates the number of times an entity has been nominated for an Academy Award.
-
B.
numberOfEmmyNominations
Indicates the total count of Emmy Award nominations received by an entity.
-
C.
typicalNumberOfNominees
Indicates the usual or standard count of nominees associated with something, such as an award, position, or selection process.
-
D.
tonyNominationsCount
Indicates the number of Tony Award nominations an entity has received.
-
E.
isOscarCategory
Indicates that a given entity is a category or award type within the Oscars (Academy Awards) system.
- 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_69f3495590dc8190aa04f3dec74ce976 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_6a02f847b9848190a9fedbc411ae0918 |
completed | May 12, 2026, 9:52 a.m. |
| PD | Predicate disambiguation | batch_6a02f556860c8190b2995433fa05fdd0 |
completed | May 12, 2026, 9:39 a.m. |
| PDg | Predicate description generation | batch_6a02f84708488190875c7ae6e76fb998 |
completed | May 12, 2026, 9:52 a.m. |
Created at: May 1, 2026, 1:26 a.m.