Triple
T3228647
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Primetime Emmy Award for Outstanding Supporting Actress in a Drama Series |
E67683
|
entity |
| Predicate | awardCategoryFor |
P1619
|
FINISHED |
| Object | drama series |
—
|
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: drama series | Statement: [Primetime Emmy Award for Outstanding Supporting Actress in a Drama Series, awardCategoryFor, drama series]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: awardCategoryFor Context triple: [Primetime Emmy Award for Outstanding Supporting Actress in a Drama Series, awardCategoryFor, drama series]
-
A.
awardFor
Indicates that something is given or granted as recognition or a prize for a particular achievement, work, or contribution.
-
B.
awardType
chosen
Indicates the specific category or kind of award associated with an entity or event.
-
C.
awardName
Indicates the specific name or title of an award associated with an entity.
-
D.
awardGivenBy
Indicates that an award is conferred or presented by one entity to another.
-
E.
awardTo
Indicates that an award, prize, or honor is given or assigned to a particular recipient.
- 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_69ad858c61888190a31196310d9b30b5 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69adaeb6f8588190a33a9d6c779e8992 |
completed | March 8, 2026, 5:15 p.m. |
| PD | Predicate disambiguation | batch_69ad9e0dc2248190a38c40f4e06cd41c |
completed | March 8, 2026, 4:04 p.m. |
Created at: March 8, 2026, 3:08 p.m.