Triple
T18994985
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Colour Me Free! |
E464785
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object | You Got the Love |
—
|
NE NERFINISHED |
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: You Got the Love | Statement: [Colour Me Free!, hasTrack, You Got the Love]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: You Got the Love Context triple: [Colour Me Free!, hasTrack, You Got the Love]
-
A.
You Got the Love
chosen
"You Got the Love" is a classic soul and dance track, best known in its 1991 version by The Source featuring Candi Staton and widely regarded as an influential anthem in club and electronic music.
-
B.
We Got the Love
"We Got the Love" is a song by American singer Chaka Khan, known for her powerful vocals and influential contributions to funk, R&B, and soul music.
-
C.
We Got Love
"We Got Love" is a popular song best known as a standout track from the South Korean girl group TWICE’s 2017 album "Twicetagram."
-
D.
We Got Love
"We Got Love" is an upbeat pop song by Australian singer Jessica Mauboy, best known as her entry for the Eurovision Song Contest 2018.
-
E.
I Got Your Love
"I Got Your Love" is a song featured on the album "Through the Storm."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8dd01a56c81909694a128c66b21d7 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d680dd2881908a72e732c6b25477 |
completed | April 20, 2026, 7:32 a.m. |
Created at: April 10, 2026, 12:01 p.m.