Triple

T11125359
Position Surface form Disambiguated ID Type / Status
Subject Duets E263119 entity
Predicate notableSong P4 FINISHED
Object 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.
 E906616 NE FINISHED

How this triple was built (4 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: All My Tears | Statement: [Duets, notableSong, All My Tears]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: All My Tears
Context triple: [Duets, notableSong, All My Tears]
  • A. I’ll Dry My Tears
    "I’ll Dry My Tears" is a song featured on the album "The Second Time Around."
  • 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. 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.
  • D. The Tracks of My Tears
    "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.
  • E. My My She Cries
    "My My She Cries" is a song featured on the John Denver album "Rhymes & Reasons."
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: All My Tears
Triple: [Duets, notableSong, All My Tears]
Generated description
"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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: All My Tears
Target entity description: "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.
  • A. I’ll Dry My Tears
    "I’ll Dry My Tears" is a song featured on the album "The Second Time Around."
  • 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. 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.
  • D. The Tracks of My Tears
    "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.
  • E. My My She Cries
    "My My She Cries" is a song featured on the John Denver album "Rhymes & Reasons."
  • F. None of above. chosen

Provenance (5 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_69d6aa9b46cc8190b19f9f0cc45bf322 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d7e82fc5f88190b34c55de3d50f6a7 completed April 9, 2026, 5:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69e42d89378c8190acc7afd1ecdbfbac completed April 19, 2026, 1:19 a.m.
NEDg Description generation batch_69e43749ffe881909c2bfa1210157c6d completed April 19, 2026, 2 a.m.
NED2 Entity disambiguation (via description) batch_69e43a46c7a88190bf4fef4a82d008a5 completed April 19, 2026, 2:13 a.m.
Created at: April 8, 2026, 9:28 p.m.