Triple
T27690557
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ARIA Award for Album of the Year (Lonerism) |
E698143
|
entity |
| Predicate | winnerArtist |
P169945
|
FINISHED |
| Object | Tame Impala |
—
|
NE NERFINISHED |
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: Tame Impala | Statement: [ARIA Award for Album of the Year (Lonerism), winnerArtist, Tame Impala]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: winnerArtist Context triple: [ARIA Award for Album of the Year (Lonerism), winnerArtist, Tame Impala]
-
A.
winnerComposer
Indicates that the subject is the composer who won a particular contest, award, or competitive event.
-
B.
winningPerformer
Indicates that the referenced performer is the one who achieved victory or first place in a particular competition, event, or contest.
-
C.
conductorOfWinningSong
Indicates that an entity served as the conductor for the song that won a particular competition or award.
-
D.
recordOfTheYearWinnerArtist
Indicates the artist who won the Record of the Year award for a given recording or year.
-
E.
albumAwardedTo
Indicates that a particular album has been granted or assigned to a specific recipient, such as an artist or group.
- 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_69ef590df8708190af5488f0638e790c |
completed | April 27, 2026, 12:39 p.m. |
| NER | Named-entity recognition | batch_69f688d015908190ad5df37030ecf332 |
completed | May 2, 2026, 11:29 p.m. |
| PD | Predicate disambiguation | batch_69f68609c0b08190a8e1238a4d97c270 |
completed | May 2, 2026, 11:17 p.m. |
| PDg | Predicate description generation | batch_69f688034580819086a0f9100645f8ba |
completed | May 2, 2026, 11:25 p.m. |
Created at: April 27, 2026, 2:51 p.m.