Triple
T31366897
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tanya Tagaq |
E800033
|
entity |
| Predicate | PolarisMusicPrizeYear |
P171274
|
FINISHED |
| Object | 2014 |
—
|
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: 2014 | Statement: [Tanya Tagaq, PolarisMusicPrizeYear, 2014]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: PolarisMusicPrizeYear Context triple: [Tanya Tagaq, PolarisMusicPrizeYear, 2014]
-
A.
MercuryPrizeYear
Indicates the year in which a given Mercury Prize was awarded or corresponds to a particular Mercury Prize event.
-
B.
songOfTheYearWinnerArtist
Indicates that an artist is the winner of the Song of the Year award for a particular song or award event.
-
C.
nmeAwardYear
Indicates the year in which an NME award was given or associated with a particular award instance.
-
D.
recordOfTheYearWinnerArtist
Indicates the artist who won the Record of the Year award for a given recording or year.
-
E.
AlbumOfTheYearWinner
Indicates that the subject is the album that won the Album of the Year award in the specified context or year.
- 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_69f224e6b7448190ac6bf97ad7364160 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f69f8594c4819087cdf6f8ab250f12 |
completed | May 3, 2026, 1:06 a.m. |
| PD | Predicate disambiguation | batch_69f69d1d25e88190a7f57d323574da90 |
completed | May 3, 2026, 12:55 a.m. |
| PDg | Predicate description generation | batch_69f69ea761848190acb31298e65b7892 |
completed | May 3, 2026, 1:02 a.m. |
Created at: April 29, 2026, 9:18 p.m.