Triple
T34693576
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AACTA Award for Best Television Drama Series |
E890963
|
entity |
| Predicate | firstAACTAPresentationYear |
—
|
GENERATED |
| Object | 2012 |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstAACTAPresentationYear Context triple: [AACTA Award for Best Television Drama Series, firstAACTAPresentationYear, 2012]
-
A.
firstMajorPresentationYear
Indicates the year in which an entity gave its first major presentation.
-
B.
firstMeetingYear
Indicates the calendar year in which two entities first met or had their initial encounter.
-
C.
firstScreeningYear
Indicates the year in which an entity (such as a film or show) was first publicly screened or premiered.
-
D.
firstSECSubmissionYear
Indicates the calendar year in which an entity made its first submission to the U.S. Securities and Exchange Commission (SEC).
-
E.
firstTestYear
Indicates the year in which an entity’s first test or testing activity took place.
- F. None of above. chosen
Provenance (1 batch)
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_69f349db7ab8819086808e833f472871 |
completed | April 30, 2026, 12:23 p.m. |
Created at: May 1, 2026, 2:05 a.m.