Triple
T17439333
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | May We All |
E424105
|
entity |
| Predicate | chartPosition_US_Country_Airplay |
P122400
|
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: [May We All, chartPosition_US_Country_Airplay, 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: chartPosition_US_Country_Airplay Context triple: [May We All, chartPosition_US_Country_Airplay, 1]
-
A.
chartPositionUSCountry
Indicates the position or ranking of something on a music or performance chart specifically within the United States.
-
B.
chartPositionAustralia
Indicates the position or ranking of something on a music or sales chart specifically within Australia.
-
C.
chartPositionCanada
Indicates the position or ranking of something on a chart specifically within Canada.
-
D.
chartPositionUSTopCountryAlbums
Indicates the album’s ranking on the U.S. Top Country Albums chart.
-
E.
peakPositionOnBillboardCountryAirplay
chosen
Indicates the highest chart position an item reached on the Billboard Country Airplay chart.
- F. None of above.
Provenance (3 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_69d889d88b6081908bada047f5b3ba51 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e44ff63e5481908a3ea0aa221360c5 |
completed | April 19, 2026, 3:45 a.m. |
| PD | Predicate disambiguation | batch_69e3b030eac481909b8402719cc3102e |
completed | April 18, 2026, 4:24 p.m. |
Created at: April 10, 2026, 5:46 a.m.