Triple
T8889970
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Glory |
E211637
|
entity |
| Predicate | track |
P17929
|
FINISHED |
| Object |
Love Me Down
"Love Me Down" is a sultry R&B-influenced pop song by Britney Spears from her 2016 album *Glory*.
|
E764449
|
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: Love Me Down | Statement: [Glory, track, Love Me Down]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Love Me Down Context triple: [Glory, track, Love Me Down]
-
A.
Love Me
"Love Me" is a creative work, likely a song or film, recognized as a notable part of an artist's or creator's body of work.
-
B.
Gonna Love Me
"Gonna Love Me" is a soulful R&B song by Teyana Taylor that blends nostalgic 1990s influences with contemporary production and intimate, confessional lyrics.
-
C.
The Love in Me
"The Love in Me" is a song featured on the Christian music album "Something About Faith."
-
D.
Love Me Harder
"Love Me Harder" is a sultry midtempo pop and R&B song by Ariana Grande and The Weeknd that explores intense romantic desire and emotional vulnerability.
-
E.
Don't Let Me Down
"Don't Let Me Down" is a musical number from Disney's 1971 fantasy film *Bedknobs and Broomsticks*, performed in the movie’s characteristic whimsical, family-friendly style.
- 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: Love Me Down Triple: [Glory, track, Love Me Down]
Generated description
"Love Me Down" is a sultry R&B-influenced pop song by Britney Spears from her 2016 album *Glory*.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Love Me Down Target entity description: "Love Me Down" is a sultry R&B-influenced pop song by Britney Spears from her 2016 album *Glory*.
-
A.
Love Me
"Love Me" is a creative work, likely a song or film, recognized as a notable part of an artist's or creator's body of work.
-
B.
Gonna Love Me
"Gonna Love Me" is a soulful R&B song by Teyana Taylor that blends nostalgic 1990s influences with contemporary production and intimate, confessional lyrics.
-
C.
The Love in Me
"The Love in Me" is a song featured on the Christian music album "Something About Faith."
-
D.
Love Me Harder
"Love Me Harder" is a sultry midtempo pop and R&B song by Ariana Grande and The Weeknd that explores intense romantic desire and emotional vulnerability.
-
E.
Don't Let Me Down
"Don't Let Me Down" is a musical number from Disney's 1971 fantasy film *Bedknobs and Broomsticks*, performed in the movie’s characteristic whimsical, family-friendly style.
- 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_69ca83907954819096d52a245b635841 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc619188508190aacda410f0b4c98d |
completed | April 1, 2026, 12:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfabe955e08190a8d61cfaa2d52731 |
completed | April 3, 2026, noon |
| NEDg | Description generation | batch_69cfacd755f88190bfe301e84c8a5350 |
completed | April 3, 2026, 12:04 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cfad5739448190886e8bf47623862b |
completed | April 3, 2026, 12:06 p.m. |
Created at: March 30, 2026, 6:53 p.m.