Triple
T33446704
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Academy Award for Best Supporting Actor for Primal Fear |
E856523
|
entity |
| Predicate | academyAwardsEditionYear |
P23228
|
FINISHED |
| Object | 1997 Academy Awards |
—
|
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: 1997 Academy Awards | Statement: [Academy Award for Best Supporting Actor for Primal Fear, academyAwardsEditionYear, 1997 Academy Awards]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: academyAwardsEditionYear Context triple: [Academy Award for Best Supporting Actor for Primal Fear, academyAwardsEditionYear, 1997 Academy Awards]
-
A.
academyAwardsEdition
chosen
Indicates the specific edition or installment of the Academy Awards associated with an entity.
-
B.
AcademyAwardsYear
Indicates the specific year in which the referenced Academy Awards event took place.
-
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.
academyAwardsSubmissionYear
Indicates the year in which a work was officially submitted for consideration to the Academy Awards.
-
E.
yearOfAwardCeremony
Indicates the specific year in which an award ceremony took place.
- 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_69f34971b75881908be360bb041f003c |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6f8164698819090c1b471f1caa4c6 |
completed | May 3, 2026, 7:24 a.m. |
| PD | Predicate disambiguation | batch_69f6f6619404819084662aef1238261c |
completed | May 3, 2026, 7:16 a.m. |
Created at: May 1, 2026, 1:37 a.m.