Triple
T15226692
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wouldn't It Be Nice |
E363894
|
entity |
| Predicate | chartPositionUS_BillboardHot100 |
P61181
|
FINISHED |
| Object | 8 |
—
|
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: 8 | Statement: [Wouldn't It Be Nice, chartPositionUS_BillboardHot100, 8]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: chartPositionUS_BillboardHot100 Context triple: [Wouldn't It Be Nice, chartPositionUS_BillboardHot100, 8]
-
A.
chartPosition_US_Billboard_Hot_100
chosen
Indicates the position an item achieved on the US Billboard Hot 100 music chart.
-
B.
chartPeakCountry_US_Billboard_Hot_100
Indicates that the entity reached its peak chart position on the US Billboard Hot 100.
-
C.
chartPositionUSHotRapSongs
Indicates the position an item achieved on the U.S. Billboard Hot Rap Songs chart.
-
D.
chartPositionUSHotCountrySongs
Indicates the position an item reached on the US Billboard Hot Country Songs music chart.
-
E.
chartPositionUSHot100Airplay
Indicates the position an item reached on the U.S. Billboard Hot 100 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_69d85a0ce24c81909c4d3b6475548c95 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0078bb32881909927561c6c072546 |
completed | April 15, 2026, 9:47 p.m. |
| PD | Predicate disambiguation | batch_69deca8479188190b2e5d3bc708d7d07 |
completed | April 14, 2026, 11:15 p.m. |
Created at: April 10, 2026, 3:12 a.m.