Triple

T22875935
Position Surface form Disambiguated ID Type / Status
Subject Arista AL 9508 E567323 entity
Predicate associatedTrackListing P66182 FINISHED
Object Easy to Love You NE NERFINISHED

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 You | Statement: [Arista AL 9508, associatedTrackListing, Easy to Love You]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Easy to Love You
Context triple: [Arista AL 9508, associatedTrackListing, Easy to Love You]
  • 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. Easy to Love
    Easy to Love is a 1953 Technicolor musical film starring Esther Williams and Van Johnson, known for its elaborate aquatic sequences and light romantic comedy.
  • C. Loving You Is Easy
    "Loving You Is Easy" is a pop ballad by Canadian singer-songwriter Sarah McLachlan, known for its melodic, romantic style and heartfelt lyrics.
  • D. Take Love Easy
    Take Love Easy is a jazz album featuring guitarist Joe Pass, known for its intimate, virtuosic interpretations of standards.
  • E. Take Love Easy
    "Take Love Easy" is a jazz album by vocalist Sophie Milman, showcasing her smooth, expressive interpretations of classic and contemporary standards.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e24589d8348190b96422d13a678bc1 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17f58a7308190b710bdf013e2e114 completed April 29, 2026, 3:47 a.m.
Created at: April 17, 2026, 3:39 p.m.