Triple

T12349804
Position Surface form Disambiguated ID Type / Status
Subject Ronnie White E294452 entity
Predicate coWriterOf P2389 FINISHED
Object The Tracks of My Tears E294456 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: The Tracks of My Tears | Statement: [Ronnie White, coWriterOf, The Tracks of My Tears]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Tracks of My Tears
Context triple: [Ronnie White, coWriterOf, The 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. 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.
  • C. 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.
  • D. 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.
  • E. I’ll Dry My Tears
    "I’ll Dry My Tears" is a song featured on the album "The Second Time Around."
  • 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_69d6ab6ccbec8190b09e2d357aa80064 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93f7cbff08190849cd2aec4ce3243 completed April 10, 2026, 6:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6346faa0481909e2f8463bff88c52 completed May 2, 2026, 5:29 p.m.
Created at: April 8, 2026, 9:53 p.m.