Triple
T26682525
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Academy Award for Best Supporting Actress for Mrs. Brown in National Velvet |
E672650
|
entity |
| Predicate | academyAwardCategoryEstablished |
P28066
|
FINISHED |
| Object | 1936 |
—
|
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: 1936 | Statement: [Academy Award for Best Supporting Actress for Mrs. Brown in National Velvet, academyAwardCategoryEstablished, 1936]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: academyAwardCategoryEstablished Context triple: [Academy Award for Best Supporting Actress for Mrs. Brown in National Velvet, academyAwardCategoryEstablished, 1936]
-
A.
AcademyAwardsYear
Indicates the specific year in which the referenced Academy Awards event took place.
-
B.
isOscarCategory
chosen
Indicates that a given entity is a category or award type within the Oscars (Academy Awards) system.
-
C.
academyAwardsContext
Indicates the relationship between an entity and its context or details specifically related to the Academy Awards (e.g., nominations, wins, categories, or years).
-
D.
oscarCategoryWon
Indicates that an entity has won an Academy Award in the specified Oscar category.
-
E.
notableAwardCategory
Indicates that an award is recognized as a significant or distinguished category within a broader system of awards.
- 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_69eecda13424819092b17942c4edf722 |
completed | April 27, 2026, 2:44 a.m. |
| NER | Named-entity recognition | batch_69f62d53ad58819080c5227c7a729d15 |
completed | May 2, 2026, 4:58 p.m. |
| PD | Predicate disambiguation | batch_69f62c15952881908a5ea0c25904afec |
completed | May 2, 2026, 4:53 p.m. |
Created at: April 27, 2026, 3:20 a.m.