Triple
T5627266
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dear Mama |
E147747
|
entity |
| Predicate | nextSingle |
P25313
|
FINISHED |
| Object | So Many Tears |
E147748
|
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: So Many Tears | Statement: [Dear Mama, nextSingle, So Many Tears]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: So Many Tears Context triple: [Dear Mama, nextSingle, So Many Tears]
-
A.
So Many Tears
chosen
"So Many Tears" is a reflective and emotionally charged song by Tupac Shakur that explores themes of pain, loss, and inner turmoil.
-
B.
Tear in My Heart
"Tear in My Heart" is a popular alternative pop/rock song by American musical duo Twenty One Pilots, known for its upbeat sound and heartfelt, romantic lyrics.
-
C.
The Tracks of My Tears
"The Tracks of My Tears" is a classic 1965 soul ballad by Smokey Robinson & The Miracles, celebrated for its poignant lyrics and emotive vocal performance.
-
D.
Hold Back the Tears
"Hold Back the Tears" is a song featured on the album *Dream Street* by American singer Janet Jackson.
-
E.
Tears Are Not Enough
"Tears Are Not Enough" is a 1985 Canadian charity single recorded by a supergroup of Canadian artists to raise funds for famine relief in Africa.
- 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_69c00906f2a88190a992c66b13d606d4 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c02239500c8190ad3035e44c3b0670 |
completed | March 22, 2026, 5:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c04d654c6c819087c1bcb4eb9530d0 |
completed | March 22, 2026, 8:13 p.m. |
Created at: March 22, 2026, 3:40 p.m.