Triple

T13057080
Position Surface form Disambiguated ID Type / Status
Subject Hard II Love E327605 entity
Predicate hasPart P35 FINISHED
Object Hard II Love (song) E327605 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: Hard II Love (song) | Statement: [Hard II Love, hasPart, Hard II Love (song)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hard II Love (song)
Context triple: [Hard II Love, hasPart, Hard II Love (song)]
  • A. Hard II Love chosen
    Hard II Love is a 2016 R&B studio album by American singer Usher that explores themes of love, vulnerability, and personal growth.
  • B. Hit Me Hard and Soft
    Hit Me Hard and Soft is a studio album by American singer-songwriter Billie Eilish that continues her dark, introspective pop style with experimental production and emotionally charged lyrics.
  • C. Love Me Hard
    Love Me Hard is a song featured on Ne-Yo’s R&B album R.E.D.
  • 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.
  • 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_69d8076e64308190904fb5c93517c901 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d980bd305c8190bcf191b2d35ec8de completed April 10, 2026, 10:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6e26c1f0081908100cae2cf39ac90 completed May 3, 2026, 5:51 a.m.
Created at: April 9, 2026, 8:58 p.m.