Triple

T20409300
Position Surface form Disambiguated ID Type / Status
Subject These Foolish Things E500547 entity
Predicate hasPart P35 FINISHED
Object Tracks of My Tears 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: Tracks of My Tears | Statement: [These Foolish Things, hasPart, Tracks of My Tears]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tracks of My Tears
Context triple: [These Foolish Things, hasPart, Tracks of My Tears]
  • A. The Tracks of My Tears chosen
    "The Tracks of My Tears" is a classic 1965 soul ballad by Smokey Robinson & The Miracles, celebrated for its poignant lyrics and emotive vocal performance.
  • B. All My Tears
    "All My Tears" is a widely covered contemporary Christian folk song, originally co-written and performed by Julie Miller and later popularized through various duet renditions.
  • C. So Many Tears
    "So Many Tears" is a reflective and emotionally charged song by Tupac Shakur that explores themes of pain, loss, and inner turmoil.
  • D. Too Many Tears
    "Too Many Tears" is a country song recorded by American band Restless Heart, known for their smooth harmonies and melodic, radio-friendly sound.
  • E. There Will Be Tears
    "There Will Be Tears" is a pop and R&B-influenced song by British singer-songwriter and producer Mr Hudson, known for its emotional lyrics and polished, melodic production.
  • 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_69e0b4a935588190b9446a99b37ced44 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e67a3e0c1c8190be39d7f09c839dfa completed April 20, 2026, 7:10 p.m.
Created at: April 16, 2026, 11:29 a.m.