Triple
T34693576
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AACTA Award for Best Television Drama Series |
E890963
|
entity |
| Predicate | firstAACTAPresentationYear |
P205526
|
FINISHED |
| Object | 2012 |
—
|
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: 2012 | Statement: [AACTA Award for Best Television Drama Series, firstAACTAPresentationYear, 2012]
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 (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_69f349db7ab8819086808e833f472871 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_6a037c92f03c8190ae2751270b195423 |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379fd7aac8190873077e63873aa72 |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c80ba448190853011097a151b7e |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 1, 2026, 2:05 a.m.