Triple

T20434860
Position Surface form Disambiguated ID Type / Status
Subject Wallflower E501224 entity
Predicate includesCover P1393 FINISHED
Object If You Could Read My Mind 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: If You Could Read My Mind | Statement: [Wallflower, includesCover, If You Could Read My Mind]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: If You Could Read My Mind
Context triple: [Wallflower, includesCover, If You Could Read My Mind]
  • A. If You Could Read My Mind chosen
    "If You Could Read My Mind" is a 1970 folk-pop song by Canadian singer-songwriter Gordon Lightfoot, renowned for its introspective lyrics and enduring popularity.
  • B. As If You Read My Mind
    "As If You Read My Mind" is a soulful R&B track by Stevie Wonder from his acclaimed 1980 album "Hotter than July."
  • C. If You Could See What’s Going Through My Mind
    "If You Could See What’s Going Through My Mind" is a track featured on the album *The Sound in Your Mind* by country musician Willie Nelson.
  • D. Read My Mind
    "Read My Mind" is a popular alternative rock song by American band The Killers, known for its anthemic sound and introspective lyrics.
  • E. Read My Mind
    "Read My Mind" is a pop song by American singer Rebecca Black, known for showcasing her more mature, evolved sound beyond her viral debut.
  • 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_69e0b4ab3cfc8190ac9bf32e932316b1 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e685ee758c8190b267b7ce71de8f8c completed April 20, 2026, 8 p.m.
Created at: April 16, 2026, 11:31 a.m.