Triple
T7961925
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wake Up Love (music video) |
E184885
|
entity |
| Predicate | title |
P38
|
FINISHED |
| Object | Wake Up Love |
E702437
|
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: Wake Up Love | Statement: [Wake Up Love (music video), title, Wake Up Love]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wake Up Love Context triple: [Wake Up Love (music video), title, Wake Up Love]
-
A.
Wake Up Love
chosen
"Wake Up Love" is a soulful R&B single by Teyana Taylor featuring Iman Shumpert, known for its intimate lyrics and smooth, contemporary production.
-
B.
Wake Up
"Wake Up" is a soulful R&B song by Alicia Keys featured on her acclaimed album *The Diary of Alicia Keys*.
-
C.
Wake Up
"Wake Up" is a song featured on the album "This Is Not a Test!" by American singer and rapper Missy Elliott.
-
D.
Wake Up
Wake Up is a short film directed by Olivia Wilde that explores themes of technology, disconnection, and human connection.
-
E.
Let Love
Let Love is a 2019 R&B and soul album by American rapper and actor Common that explores themes of spirituality, personal growth, and emotional vulnerability.
- 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_69ca8293a2388190aace944d7ed9c0c0 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3b9df72081908d33925da10192e9 |
completed | March 31, 2026, 3:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc566604e881908792c7155a370e4c |
completed | March 31, 2026, 11:19 p.m. |
Created at: March 30, 2026, 5:12 p.m.