Triple
T5442463
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1st Academy Awards |
E122166
|
entity |
| Predicate | establishedTradition |
P64101
|
FINISHED |
| Object | modern Academy Awards format |
—
|
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: modern Academy Awards format | Statement: [1st Academy Awards, establishedTradition, modern Academy Awards format]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: establishedTradition Context triple: [1st Academy Awards, establishedTradition, modern Academy Awards format]
-
A.
traditionSince
Indicates that a tradition has been continuously practiced or recognized starting from a specified point in time.
-
B.
mainTradition
Indicates that one entity represents the primary or dominant tradition associated with another entity.
-
C.
traditionAscribes
Indicates that a tradition attributes or assigns a particular quality, role, origin, or action to an entity.
-
D.
traditionAt
Indicates that a particular tradition is practiced, observed, or associated at a specific place or location.
-
E.
cultOrTradition
Indicates that one entity is a cult or tradition associated with, practiced by, or characterizing another entity.
- 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_69bd46400768819092925d461c0b8432 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd922f66bc8190b7d47fd68d2fcf2e |
completed | March 20, 2026, 6:30 p.m. |
| PD | Predicate disambiguation | batch_69bd919aeb048190b786f814177d6cd9 |
completed | March 20, 2026, 6:27 p.m. |
| PDg | Predicate description generation | batch_69bd922dc688819092bf33589ebc6d50 |
completed | March 20, 2026, 6:30 p.m. |
Created at: March 20, 2026, 2:07 p.m.