Triple
T14082094
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Good Time |
E338891
|
entity |
| Predicate | chartPositionSouthKoreaGaonInternationalChart |
P112737
|
FINISHED |
| Object | 1 |
—
|
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: 1 | Statement: [Good Time, chartPositionSouthKoreaGaonInternationalChart, 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: chartPositionSouthKoreaGaonInternationalChart Context triple: [Good Time, chartPositionSouthKoreaGaonInternationalChart, 1]
-
A.
chartPositionJapanOriconInternationalSingles
Indicates the position an international single achieved on Japan’s Oricon music charts.
-
B.
peakUSChartPositionForAlbumAsia
Indicates the highest position an album by the band Asia reached on a U.S. music chart.
-
C.
chartingSongInCountry
Indicates that a song appears on an official music chart within a specified country.
-
D.
oriconAlbumsChartPeakPosition
Indicates the highest chart position an album has reached on the Oricon albums chart.
-
E.
chartPositionARIALatinPopAirplay
Indicates the position something holds on the ARIA Latin Pop Airplay music chart.
- 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_69d81c687b0c819087fd9ed4198403f8 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de5c5f759c81909bfd60ab35b0937b |
completed | April 14, 2026, 3:25 p.m. |
| PD | Predicate disambiguation | batch_69de05b0e6c88190a819eeba0028981f |
completed | April 14, 2026, 9:15 a.m. |
| PDg | Predicate description generation | batch_69de2398856c81908bed6070e4ca6ab1 |
completed | April 14, 2026, 11:23 a.m. |
Created at: April 9, 2026, 10:21 p.m.