Triple

T9367362
Position Surface form Disambiguated ID Type / Status
Subject Jack Cummings E225435 entity
Predicate notableWork P4 FINISHED
Object Easy to Love E387114 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: Easy to Love | Statement: [Jack Cummings, notableWork, Easy to Love]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Easy to Love
Context triple: [Jack Cummings, notableWork, Easy to Love]
  • A. Easy to Love chosen
    "Easy to Love" is a popular Cole Porter standard that has been widely recorded in jazz and pop, including by Ella Fitzgerald on her celebrated Cole Porter songbook album.
  • B. Take Love Easy
    "Take Love Easy" is a jazz album by vocalist Sophie Milman, showcasing her smooth, expressive interpretations of classic and contemporary standards.
  • C. Easy Love
    "Easy Love" is a popular electro-house track by Canadian electronic duo MSTRKRFT, known for its gritty synths, driving beat, and club-friendly energy.
  • 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_69ca842cbddc819099d71ecec48cf9e5 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd507f9ed8819092967b204faa4408 completed April 1, 2026, 5:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69d0f4010ea88190b056f57bab78bef9 completed April 4, 2026, 11:20 a.m.
Created at: March 30, 2026, 7:43 p.m.