Triple
T4387221
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | I'm Your Man |
E99272
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object |
Ain't No Cure for Love
"Ain't No Cure for Love" is a Leonard Cohen song, best known as a melancholic meditation on the persistence and inevitability of love.
|
E435114
|
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: Ain't No Cure for Love | Statement: [I'm Your Man, hasTrack, Ain't No Cure for Love]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ain't No Cure for Love Context triple: [I'm Your Man, hasTrack, Ain't No Cure for Love]
-
A.
Without Love
"Without Love" is a lively duet-turned-ensemble love song from the musical Hairspray, celebrating young romance and defiance of social barriers.
-
B.
Can't Hurry Love
"Can't Hurry Love" is a 1990s American sitcom best known for featuring Mariska Hargitay in one of her early television roles.
-
C.
Still in Love
"Still in Love" is an R&B song by American singer-songwriter Brian McKnight, showcasing his smooth vocals and romantic ballad style.
-
D.
Nothin’ But Love
"Nothin’ But Love" is a song by Whitney Houston from her 2009 studio album "I Look to You."
-
E.
Ma, I Don't Love Her
"Ma, I Don't Love Her" is a hip-hop track by the duo Clipse, known for its storytelling about complicated relationships over a Neptunes-produced beat.
- 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: Ain't No Cure for Love Triple: [I'm Your Man, hasTrack, Ain't No Cure for Love]
Generated description
"Ain't No Cure for Love" is a Leonard Cohen song, best known as a melancholic meditation on the persistence and inevitability of love.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ain't No Cure for Love Target entity description: "Ain't No Cure for Love" is a Leonard Cohen song, best known as a melancholic meditation on the persistence and inevitability of love.
-
A.
Without Love
"Without Love" is a lively duet-turned-ensemble love song from the musical Hairspray, celebrating young romance and defiance of social barriers.
-
B.
Can't Hurry Love
"Can't Hurry Love" is a 1990s American sitcom best known for featuring Mariska Hargitay in one of her early television roles.
-
C.
Still in Love
"Still in Love" is an R&B song by American singer-songwriter Brian McKnight, showcasing his smooth vocals and romantic ballad style.
-
D.
Nothin’ But Love
"Nothin’ But Love" is a song by Whitney Houston from her 2009 studio album "I Look to You."
-
E.
Ma, I Don't Love Her
"Ma, I Don't Love Her" is a hip-hop track by the duo Clipse, known for its storytelling about complicated relationships over a Neptunes-produced beat.
- 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_69b3454f739481909ff6c28331f0c0b9 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b352804be88190ab188ac0dde1ac1e |
completed | March 12, 2026, 11:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5e52a0488819081fe724d592d8fdf |
completed | March 14, 2026, 10:46 p.m. |
| NEDg | Description generation | batch_69b5e619964081908193b4b40a940336 |
completed | March 14, 2026, 10:50 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b5e681fa5c819084ec0e9092275754 |
completed | March 14, 2026, 10:51 p.m. |
Created at: March 12, 2026, 11:19 p.m.