Triple
T13613692
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Way You Love Me |
E325257
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Breathe |
E798203
|
NE 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: Breathe | Statement: [The Way You Love Me, partOf, Breathe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Breathe Context triple: [The Way You Love Me, partOf, Breathe]
-
A.
Breathe
"Breathe" is a song by Irish rock band U2 from their 2009 album *No Line on the Horizon*, blending driving rhythms with reflective, stream-of-consciousness lyrics.
-
B.
Breathe
"Breathe" is a hit country-pop song by American singer Faith Hill that became one of her signature crossover successes in the late 1990s.
-
C.
Breathe
"Breathe" is a popular dancehall-infused single by Jamaican artist Sean Paul, known for its energetic rhythm and international chart success.
-
D.
Breathe
"Breathe" is a contemporary Christian worship song popularized by Michael W. Smith, known for its devotional lyrics and widespread use in church services.
-
E.
Breathe
chosen
"Breathe" is a song featured on Taylor Swift's album "Fearless," known for its emotional lyrics and collaboration with Colbie Caillat.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d8076aae28819092cf636190ee5529 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbb0abe1208190a1e0a32dc141d836 |
completed | April 12, 2026, 2:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7a83aeeb48190b92b00366791ab15 |
completed | May 3, 2026, 7:55 p.m. |
Created at: April 9, 2026, 9:50 p.m.