Triple
T3353154
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chaka |
E70542
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object |
Love Has Fallen on Me
"Love Has Fallen on Me" is a soulful jazz track performed by vocalist Chaka Khan, showcasing her expressive early style.
|
E352068
|
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 Has Fallen on Me | Statement: [Chaka, hasTrack, Love Has Fallen on Me]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Love Has Fallen on Me Context triple: [Chaka, hasTrack, Love Has Fallen on Me]
-
A.
Fall in Love
"Fall in Love" is a popular Afrobeat love song by Nigerian artist D'banj that became one of his signature hits across Africa.
-
B.
Please Love Me
"Please Love Me" is a blues song popularized by B.B. King, showcasing his expressive guitar work and emotive vocal style.
-
C.
Love Has Come for You
Love Has Come for You is a collaborative folk and bluegrass album by Edie Brickell and Steve Martin, noted for its acoustic instrumentation and storytelling songwriting.
-
D.
Falling in Love with Love
"Falling in Love with Love" is a popular show tune by composer Richard Rodgers and lyricist Lorenz Hart, introduced in the 1938 musical "The Boys from Syracuse."
-
E.
Fell for You
"Fell for You" is a pop-punk song by Green Day from their 2012 album ¡Uno!.
- 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 Has Fallen on Me Triple: [Chaka, hasTrack, Love Has Fallen on Me]
Generated description
"Love Has Fallen on Me" is a soulful jazz track performed by vocalist Chaka Khan, showcasing her expressive early style.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Love Has Fallen on Me Target entity description: "Love Has Fallen on Me" is a soulful jazz track performed by vocalist Chaka Khan, showcasing her expressive early style.
-
A.
Fall in Love
"Fall in Love" is a popular Afrobeat love song by Nigerian artist D'banj that became one of his signature hits across Africa.
-
B.
Please Love Me
"Please Love Me" is a blues song popularized by B.B. King, showcasing his expressive guitar work and emotive vocal style.
-
C.
Love Has Come for You
Love Has Come for You is a collaborative folk and bluegrass album by Edie Brickell and Steve Martin, noted for its acoustic instrumentation and storytelling songwriting.
-
D.
Falling in Love with Love
"Falling in Love with Love" is a popular show tune by composer Richard Rodgers and lyricist Lorenz Hart, introduced in the 1938 musical "The Boys from Syracuse."
-
E.
Fell for You
"Fell for You" is a pop-punk song by Green Day from their 2012 album ¡Uno!.
- 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_69ad85a4ef7c8190a29e2bbd6fa454e4 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb23ec53881908a04c7f784fe8c43 |
completed | March 8, 2026, 5:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b32532ebd08190bf174d72fba89a75 |
completed | March 12, 2026, 8:42 p.m. |
| NEDg | Description generation | batch_69b328f5e6ac8190935f88e2b7307147 |
completed | March 12, 2026, 8:58 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b32ca6aa4481908b044b07b6d2e529 |
completed | March 12, 2026, 9:14 p.m. |
Created at: March 8, 2026, 3:13 p.m.