Triple
T22127375
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thank You Camellia |
E546822
|
entity |
| Predicate | track |
P17929
|
FINISHED |
| Object |
Teach Me How Love Goes
"Teach Me How Love Goes" is a mellow, acoustic-driven pop song by American singer-songwriter Kris Allen from his album "Thank You Camellia."
|
E1520374
|
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: Teach Me How Love Goes | Statement: [Thank You Camellia, track, Teach Me How Love Goes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Teach Me How Love Goes Context triple: [Thank You Camellia, track, Teach Me How Love Goes]
-
A.
Teach Me
"Teach Me" is a song featured on the album "Back to Me."
-
B.
Teach Me
Teach Me is a song featured on the album "All I Want Is You" by American singer-songwriter Miguel.
-
C.
The Way Love Goes
"The Way Love Goes" is a smooth R&B ballad by American singer Brian McKnight from his 1997 album "Anytime."
-
D.
I Love How You Love Me
"I Love How You Love Me" is a popular romantic ballad best known for Bobby Vinton’s hit 1968 rendition, which became one of his signature songs.
-
E.
How You Love Me
"How You Love Me" is a song by American rapper Talib Kweli from his album *Gutter Rainbows*.
- 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: Teach Me How Love Goes Triple: [Thank You Camellia, track, Teach Me How Love Goes]
Generated description
"Teach Me How Love Goes" is a mellow, acoustic-driven pop song by American singer-songwriter Kris Allen from his album "Thank You Camellia."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Teach Me How Love Goes Target entity description: "Teach Me How Love Goes" is a mellow, acoustic-driven pop song by American singer-songwriter Kris Allen from his album "Thank You Camellia."
-
A.
Teach Me
"Teach Me" is a song featured on the album "Back to Me."
-
B.
Teach Me
Teach Me is a song featured on the album "All I Want Is You" by American singer-songwriter Miguel.
-
C.
The Way Love Goes
"The Way Love Goes" is a smooth R&B ballad by American singer Brian McKnight from his 1997 album "Anytime."
-
D.
I Love How You Love Me
"I Love How You Love Me" is a popular romantic ballad best known for Bobby Vinton’s hit 1968 rendition, which became one of his signature songs.
-
E.
How You Love Me
"How You Love Me" is a song by American rapper Talib Kweli from his album *Gutter Rainbows*.
- 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_69e11e39bf348190b541bfa16a7b71e0 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f12982eaa08190933d3036c020f562 |
completed | April 28, 2026, 9:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a8f254dc08190a0a5376ff16cc570 |
completed | May 18, 2026, 4:01 a.m. |
| NEDg | Description generation | batch_6a0a92181a388190bdd14cafee3b1ccd |
completed | May 18, 2026, 4:14 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a9302dc80819091422fadcacfe2ad |
completed | May 18, 2026, 4:18 a.m. |
Created at: April 16, 2026, 8:31 p.m.