Triple
T3228659
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Primetime Emmy Award for Outstanding Supporting Actress in a Drama Series |
E67683
|
entity |
| Predicate | awardGivenForYear |
P15480
|
FINISHED |
| Object | previous television season |
—
|
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: previous television season | Statement: [Primetime Emmy Award for Outstanding Supporting Actress in a Drama Series, awardGivenForYear, previous television season]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: awardGivenForYear Context triple: [Primetime Emmy Award for Outstanding Supporting Actress in a Drama Series, awardGivenForYear, previous television season]
-
A.
awardReceivedYear
Indicates the specific year in which an entity received a particular award.
-
B.
awardGivenBy
Indicates that an award is conferred or presented by one entity to another.
-
C.
awardedForYearOfRelease
chosen
Indicates that an award is given in recognition of a work based on the year in which that work was released.
-
D.
awardConferred
Indicates that an award or honor has been formally granted by one entity to another.
-
E.
awardName
Indicates the specific name or title of an award associated with an entity.
- 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.