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.