Triple
T6270547
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tender Lover |
E140522
|
entity |
| Predicate | notableSingle |
P3283
|
FINISHED |
| Object | Tender Lover (song) |
E140522
|
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: Tender Lover (song) | Statement: [Tender Lover, notableSingle, Tender Lover (song)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tender Lover (song) Context triple: [Tender Lover, notableSingle, Tender Lover (song)]
-
A.
Tender Lover
chosen
Tender Lover is a 1989 R&B album by Babyface that helped establish him as a leading singer, songwriter, and producer.
-
B.
The Tender Passion
The Tender Passion is a historical study by cultural historian Peter Gay that explores the evolution of romantic love and courtship in Western society.
-
C.
Your Tender Romance
"Your Tender Romance" is a song featured on the album *King of Stage* by American R&B singer Bobby Brown.
-
D.
A Love Song
"A Love Song" is a country-pop ballad recorded by Kenny Rogers that became one of his notable hits in the early 1980s.
-
E.
A Little Tenderness
"A Little Tenderness" is a song featured on Sheena Easton's 1981 pop album "You Could Have Been with Me."
- 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_69c008cabc4081909723e2547c9d6cc0 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c063bb340c8190ab81b249cefa91ca |
completed | March 22, 2026, 9:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c5e4003018819087961018dc153a91 |
completed | March 27, 2026, 1:57 a.m. |
Created at: March 22, 2026, 4:25 p.m.