Triple
T17439452
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Meant to Be |
E424108
|
entity |
| Predicate | weeksAtNumberOneOnBillboardHotCountrySongs |
P57437
|
FINISHED |
| Object | 50 |
—
|
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: 50 | Statement: [Meant to Be, weeksAtNumberOneOnBillboardHotCountrySongs, 50]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: weeksAtNumberOneOnBillboardHotCountrySongs Context triple: [Meant to Be, weeksAtNumberOneOnBillboardHotCountrySongs, 50]
-
A.
weeksAtNumberOneOnBillboardHot100
Indicates the number of weeks a song or recording remained at the #1 position on the Billboard Hot 100 chart.
-
B.
weeksAtNumberOneUSBillboardHot100
Indicates the number of weeks a song or recording remained at the #1 position on the US Billboard Hot 100 chart.
-
C.
weeksAtNo1Singles
chosen
Indicates the number of weeks a given single (song) remained at the number one position on a specified chart.
-
D.
weeksAtWorldNo1
Indicates the number of weeks an entity has held the world number one ranking in its field.
-
E.
hasBillboardCountryNumberOneSingle
Indicates that an entity has achieved at least one single that reached number one on the Billboard Country music charts.
- 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.