Triple
T4654437
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Don't Fall in Love with a Dreamer |
E102373
|
entity |
| Predicate | peakPositionOnBillboardAdultContemporary |
P19928
|
FINISHED |
| Object | 2 |
—
|
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: 2 | Statement: [Don't Fall in Love with a Dreamer, peakPositionOnBillboardAdultContemporary, 2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: peakPositionOnBillboardAdultContemporary Context triple: [Don't Fall in Love with a Dreamer, peakPositionOnBillboardAdultContemporary, 2]
-
A.
chartPositionUSBillboardAdultContemporary
chosen
Indicates the position an item reached on the US Billboard Adult Contemporary music chart.
-
B.
chartPositionCanadaAdultContemporary
Indicates the position a song or album achieved on the Canadian Adult Contemporary music chart.
-
C.
peakPositionOnBillboardR&BChart
Indicates the highest ranking position an entity achieved on the Billboard R&B music chart.
-
D.
peakPositionUSMainstreamRock
Indicates the highest chart position an item achieved on the US Mainstream Rock music chart.
-
E.
peakPositionUSHot100
Indicates the highest chart position an item reached on the US Billboard Hot 100 singles 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_69bd43d71a308190afea7280841b0de8 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd631623d881908a59dafa7702af54 |
completed | March 20, 2026, 3:09 p.m. |
| PD | Predicate disambiguation | batch_69bd62126b0c81909ba3f21b21e30d54 |
completed | March 20, 2026, 3:04 p.m. |
Created at: March 20, 2026, 1:14 p.m.