Triple
T13028229
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chaka Khan |
E326360
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | I Feel for You |
E64513
|
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: I Feel for You | Statement: [Chaka Khan, notableWork, I Feel for You]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: I Feel for You Context triple: [Chaka Khan, notableWork, I Feel for You]
-
A.
I Feel for You
chosen
"I Feel for You" is a 1984 hit single by Chaka Khan that fused R&B, funk, and hip hop, becoming one of her signature songs and a defining track of 1980s pop music.
-
B.
I Feel for You
"I Feel for You" is a popular house track by French DJ and producer Bob Sinclar, known for its catchy groove and club-friendly sound.
-
C.
I Feel for You
"I Feel for You" is a 1984 R&B and dance-pop album by Chaka Khan that helped revitalize her solo career and popularize a fusion of funk, soul, and hip hop elements.
-
D.
It's the Way You Make Me Feel
"It's the Way You Make Me Feel" is a pop song by British group Steps, known for its upbeat dance-pop style and catchy, feel-good chorus.
-
E.
Only You
Only You is a 1994 romantic comedy film in which Joaquim de Almeida plays a charming Italian character who becomes entangled in the protagonist’s quest for true love.
- 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_69d8076cc45c81908123123f43e69266 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97efc07488190a15f3e41ea2db45c |
completed | April 10, 2026, 10:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6d5fa10fc81908a37b85894f8f849 |
completed | May 3, 2026, 4:58 a.m. |
Created at: April 9, 2026, 8:53 p.m.