Triple

T16438487
Position Surface form Disambiguated ID Type / Status
Subject I Feel Love E399235 entity
Predicate album P1995 FINISHED
Object I Remember Yesterday E1070380 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: I Remember Yesterday | Statement: [I Feel Love, album, I Remember Yesterday]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: I Remember Yesterday
Context triple: [I Feel Love, album, I Remember Yesterday]
  • A. I Remember Yesterday chosen
    "I Remember Yesterday" is a 1977 disco song by Donna Summer, notable for its nostalgic, retro-inspired sound and production by Giorgio Moroder and Pete Bellotte.
  • B. I Remember
    "I Remember" is an R&B ballad by Keyshia Cole known for its emotional vocals and themes of heartbreak and empowerment.
  • C. Like Yesterday
    "Like Yesterday" is a song by the jazz vocalist and pianist Diana Krall from her album "All of You."
  • D. Whenever You Remember
    "Whenever You Remember" is a sentimental country-pop ballad by Carrie Underwood that reflects on cherished memories and lasting gratitude.
  • E. See You Yesterday
    See You Yesterday is a 2019 science fiction drama film that blends time travel with social commentary on police violence and systemic racism.
  • 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_69d87f2c6778819080fcfae53be8f12a completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e32ba5a4748190b63ff53bfb5957c7 completed April 18, 2026, 6:58 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00458b91bc8190b40af99faf5e74ab completed May 10, 2026, 8:44 a.m.
Created at: April 10, 2026, 5:10 a.m.