Triple
T17947535
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Daytime Emmy Award for Outstanding Supporting Actress in a Drama Series |
E448742
|
entity |
| Predicate | awardForPerformerType |
P129840
|
FINISHED |
| Object | actress |
—
|
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: actress | Statement: [Daytime Emmy Award for Outstanding Supporting Actress in a Drama Series, awardForPerformerType, actress]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: awardForPerformerType Context triple: [Daytime Emmy Award for Outstanding Supporting Actress in a Drama Series, awardForPerformerType, actress]
-
A.
awardType
Indicates the specific category or kind of award associated with an entity or event.
-
B.
awardShowType
Indicates the specific category or kind of award show associated with an entity.
-
C.
typicalAwardType
Indicates the usual or most common type or category of award associated with a given entity or context.
-
D.
awardBodyType
Indicates the type or classification of the organization or body that grants or issues an award.
-
E.
awardFor
Indicates that something is given or granted as recognition or a prize for a particular achievement, work, or contribution.
- 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_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. |
| PDg | Predicate description generation | batch_69e42d8d68288190a05dc5d7803cf823 |
completed | April 19, 2026, 1:19 a.m. |
Created at: April 10, 2026, 10:21 a.m.