Triple
T17947534
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Daytime Emmy Award for Outstanding Supporting Actress in a Drama Series |
E448742
|
entity |
| Predicate | awardForRoleType |
P1619
|
FINISHED |
| Object | supporting role |
—
|
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: supporting role | Statement: [Daytime Emmy Award for Outstanding Supporting Actress in a Drama Series, awardForRoleType, supporting role]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: awardForRoleType Context triple: [Daytime Emmy Award for Outstanding Supporting Actress in a Drama Series, awardForRoleType, supporting role]
-
A.
awardType
chosen
Indicates the specific category or kind of award associated with an entity or event.
-
B.
awardFor
Indicates that something is given or granted as recognition or a prize for a particular achievement, work, or contribution.
-
C.
responsibleForAwardType
Indicates that an entity has responsibility for granting, managing, or overseeing a particular type or category of award.
-
D.
awardClass
Indicates the classification or category assigned to an award within an award-giving system.
-
E.
typicalAwardType
Indicates the usual or most common type or category of award associated with a given entity or context.
- 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_69d8b9f8cca8819099836916c56b7c95 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e4afa9cb2481908c95f8c430dcc0aa |
completed | April 19, 2026, 10:34 a.m. |
| PD | Predicate disambiguation | batch_69e3f8f2bd088190b1e22ad4d9cc8b13 |
completed | April 18, 2026, 9:34 p.m. |
Created at: April 10, 2026, 10:21 a.m.