Triple

T13057006
Position Surface form Disambiguated ID Type / Status
Subject Looking 4 Myself E327604 entity
Predicate nextWork P9710 FINISHED
Object Hard II Love 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 | Statement: [Looking 4 Myself, nextWork, Hard II Love]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hard II Love
Context triple: [Looking 4 Myself, nextWork, Hard II Love]
  • 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. 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.
  • C. Let Love
    Let Love is a music project or release associated with Boom Bishop, recognized as a notable work in his career.
  • D. Here’s Love
    "Here’s Love" is a 1963 Broadway musical by Meredith Willson, adapted from the classic film "Miracle on 34th Street."
  • E. More Love
    "More Love" is a 1980 soft rock song by American singer Kim Carnes that became one of her early charting hits before her breakthrough with "Bette Davis Eyes."
  • 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_69f6cbdead348190aa7aaa29c371d72a completed May 3, 2026, 4:15 a.m.
Created at: April 9, 2026, 8:58 p.m.