Triple
T1795942
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Academy of Television Arts & Sciences |
E39602
|
entity |
| Predicate | awardTypeAdministered |
P8620
|
FINISHED |
| Object | television 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: television award | Statement: [Academy of Television Arts & Sciences, awardTypeAdministered, television award]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: awardTypeAdministered Context triple: [Academy of Television Arts & Sciences, awardTypeAdministered, television award]
-
A.
awardType
Indicates the specific category or kind of award associated with an entity or event.
-
B.
awardTypeOverseen
chosen
Indicates that an entity is responsible for overseeing or managing a particular type or category of award.
-
C.
awardName
Indicates the specific name or title of an award associated with an entity.
-
D.
awardConferred
Indicates that an award or honor has been formally granted by one entity to another.
-
E.
awardGivenBy
Indicates that an award is conferred or presented by one entity to another.
- 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_69a88632aa588190ba3978fde0db5bbd |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69ab61b6ea188190aab9fb839bf1e367 |
completed | March 6, 2026, 11:22 p.m. |
| PD | Predicate disambiguation | batch_69aa61d2f7a8819090301f92d3e358c7 |
completed | March 6, 2026, 5:10 a.m. |
Created at: March 4, 2026, 7:32 p.m.