Triple
T7418893
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Raise Vibration |
E171194
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Here to Love
"Here to Love" is a soulful rock song by Lenny Kravitz that promotes unity, compassion, and social justice.
|
E663017
|
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: Here to Love | Statement: [Raise Vibration, hasPart, Here to Love]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Here to Love Context triple: [Raise Vibration, hasPart, Here to Love]
-
A.
Ready to Love
Ready to Love is a reality dating series that follows successful Black singles navigating romance and relationships, produced by filmmaker and TV producer Will Packer.
-
B.
Here’s Love
"Here’s Love" is a 1963 Broadway musical by Meredith Willson, adapted from the classic film "Miracle on 34th Street."
-
C.
Remember Love
"Remember Love" is a gentle, minimalist song by Yoko Ono, known as the companion piece to John Lennon's "Give Peace a Chance" and reflecting their peace-focused artistic collaboration.
-
D.
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.
-
E.
Let Love
Let Love is a music project or release associated with Boom Bishop, recognized as a notable work in his career.
- 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: Here to Love Triple: [Raise Vibration, hasPart, Here to Love]
Generated description
"Here to Love" is a soulful rock song by Lenny Kravitz that promotes unity, compassion, and social justice.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Here to Love Target entity description: "Here to Love" is a soulful rock song by Lenny Kravitz that promotes unity, compassion, and social justice.
-
A.
Ready to Love
Ready to Love is a reality dating series that follows successful Black singles navigating romance and relationships, produced by filmmaker and TV producer Will Packer.
-
B.
Here’s Love
"Here’s Love" is a 1963 Broadway musical by Meredith Willson, adapted from the classic film "Miracle on 34th Street."
-
C.
Remember Love
"Remember Love" is a gentle, minimalist song by Yoko Ono, known as the companion piece to John Lennon's "Give Peace a Chance" and reflecting their peace-focused artistic collaboration.
-
D.
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.
-
E.
Let Love
Let Love is a music project or release associated with Boom Bishop, recognized as a notable work in his career.
- 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_69c68a625d048190af70eb8b63bec5a0 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f2e93ffc8190beb5a1d3eb6c5d23 |
completed | March 27, 2026, 9:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c81ef30ee88190a484f4b735913676 |
completed | March 28, 2026, 6:33 p.m. |
| NEDg | Description generation | batch_69c81f8590348190ac632731b9bb9a52 |
completed | March 28, 2026, 6:35 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c82036e43481908a4be75ab4e1409c |
completed | March 28, 2026, 6:38 p.m. |
Created at: March 27, 2026, 3:11 p.m.