Triple
T6585348
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Burnin' |
E159205
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object |
Cry to Me
"Cry to Me" is a soulful rhythm and blues song best known for Solomon Burke’s 1962 recording, which became a classic of early soul music.
|
E603975
|
NE FINISHED |
How this triple was built (4 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: Cry to Me | Statement: [Burnin', hasTrack, Cry to Me]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cry to Me Context triple: [Burnin', hasTrack, Cry to Me]
-
A.
Cryin'
"Cryin'" is a 1993 power ballad by American rock band Aerosmith, known for its blend of hard rock and emotional lyrics and its iconic music video featuring Alicia Silverstone.
-
B.
Cry Me Out
"Cry Me Out" is a soulful pop ballad by English singer Pixie Lott, released as a single from her debut album "Turn It Up."
-
C.
Crying Out For Me
"Crying Out For Me" is an R&B song by Mario known for its emotional lyrics about a man wanting to rescue a woman from a troubled relationship.
-
D.
Cry for You
"Cry for You" is a 1993 R&B ballad by Jodeci known for its emotional vocals and signature New Jack Swing-influenced production.
-
E.
Don’t Cry
"Don’t Cry" is a popular rock ballad by the American band Guns N’ Roses, known for its emotional lyrics and powerful guitar work.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Cry to Me Triple: [Burnin', hasTrack, Cry to Me]
Generated description
"Cry to Me" is a soulful rhythm and blues song best known for Solomon Burke’s 1962 recording, which became a classic of early soul music.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Cry to Me Target entity description: "Cry to Me" is a soulful rhythm and blues song best known for Solomon Burke’s 1962 recording, which became a classic of early soul music.
-
A.
Cryin'
"Cryin'" is a 1993 power ballad by American rock band Aerosmith, known for its blend of hard rock and emotional lyrics and its iconic music video featuring Alicia Silverstone.
-
B.
Cry Me Out
"Cry Me Out" is a soulful pop ballad by English singer Pixie Lott, released as a single from her debut album "Turn It Up."
-
C.
Crying Out For Me
"Crying Out For Me" is an R&B song by Mario known for its emotional lyrics about a man wanting to rescue a woman from a troubled relationship.
-
D.
Cry for You
"Cry for You" is a 1993 R&B ballad by Jodeci known for its emotional vocals and signature New Jack Swing-influenced production.
-
E.
Don’t Cry
"Don’t Cry" is a popular rock ballad by the American band Guns N’ Roses, known for its emotional lyrics and powerful guitar work.
- F. None of above. chosen
Provenance (5 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_69c688366ce8819083f8883983c0df92 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6aeacbde08190a2e4e82cd12bc43f |
completed | March 27, 2026, 4:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6d576ab288190ac7e7b58e974697c |
completed | March 27, 2026, 7:07 p.m. |
| NEDg | Description generation | batch_69c6d828620081909c1b4dfaa96efd62 |
completed | March 27, 2026, 7:19 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c6d8a3d194819080f33e179a8a8679 |
completed | March 27, 2026, 7:21 p.m. |
Created at: March 27, 2026, 1:54 p.m.