Triple

T13055060
Position Surface form Disambiguated ID Type / Status
Subject I Don't Know Why E327549 entity
Predicate BsideOf P15273 FINISHED
Object My Cherie Amour E64980 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: My Cherie Amour | Statement: [I Don't Know Why, BsideOf, My Cherie Amour]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: My Cherie Amour
Context triple: [I Don't Know Why, BsideOf, My Cherie Amour]
  • A. My Cherie Amour chosen
    "My Cherie Amour" is a classic 1969 soul and pop ballad by Stevie Wonder, celebrated for its romantic lyrics and memorable melody.
  • B. Oh L'amour
    "Oh L'amour" is a synth-pop song by the English duo Erasure that became one of their early signature tracks and a fan favorite.
  • C. Hot Cherie
    "Hot Cherie" is a melodic hard rock song popularized by the American band Hardline, known for its catchy hooks and prominent guitar work.
  • D. Amoureuse
    "Amoureuse" is a 1973 pop ballad, originally written in French by Véronique Sanson and popularized in English by Kiki Dee, known for its passionate, romantic lyrics and emotive melody.
  • E. Hymnes à l’amour
    Hymnes à l’amour is a literary work by French actress and writer Anne Wiazemsky, reflecting her characteristic introspective and emotionally nuanced style.
  • 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_69d980bb52d88190b5be12000e27a2c9 completed April 10, 2026, 10:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6d5ff8c308190a40274c68a1c5da3 completed May 3, 2026, 4:58 a.m.
Created at: April 9, 2026, 8:58 p.m.