Triple
T13747912
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Breathless |
E330264
|
entity |
| Predicate | notableSingle |
P3283
|
FINISHED |
| Object | Sentimental |
E1060402
|
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: Sentimental | Statement: [Breathless, notableSingle, Sentimental]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sentimental Context triple: [Breathless, notableSingle, Sentimental]
-
A.
Sentimental
chosen
"Sentimental" is a song featured on the album "Breathless," known for its emotive tone and reflective lyrics.
-
B.
Sentimentalism
Sentimentalism is an 18th-century literary and philosophical movement that emphasized emotion, empathy, and moral feeling as central to human experience and judgment.
-
C.
Emotional
"Emotional" is a pop-R&B single by American Idol alumna Diana DeGarmo that showcases her powerful vocal style and post-show recording career.
-
D.
So Emotional
"So Emotional" is a 1987 dance-pop song by Whitney Houston that became one of her number-one hits on the Billboard Hot 100.
-
E.
Moody
Moody is a surname of English origin most famously associated with the 19th-century American evangelist Dwight L. Moody.
- 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_69d81c573f288190aa2403d484fa3d49 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de02132a108190aca728b95e83af01 |
completed | April 14, 2026, 9 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7b06d9fd48190a10b86a0d68fac70 |
completed | May 3, 2026, 8:30 p.m. |
Created at: April 9, 2026, 10:08 p.m.