Triple
T20862597
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Julie Miller |
E513658
|
entity |
| Predicate | notableSong |
P4
|
FINISHED |
| Object | All 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: All My Tears | Statement: [Julie Miller, notableSong, All My Tears]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: All My Tears Context triple: [Julie Miller, notableSong, All My Tears]
-
A.
All My Tears
chosen
"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.
-
B.
I’ll Dry My Tears
"I’ll Dry My Tears" is a song featured on the album "The Second Time Around."
-
C.
No More Tears
"No More Tears" is a song recorded by the artist known as The Songstress, showcasing her smooth, emotive R&B vocal style.
-
D.
All My Sorrows
"All My Sorrows" is a folk song popularized in the mid-20th century, often associated with the American folk revival movement.
-
E.
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.
- 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_69e0b4f5b01081909452f654d2fc3f50 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c45d2ec4819098abbb901b9fcd87 |
completed | April 21, 2026, 12:27 a.m. |
Created at: April 16, 2026, 12:44 p.m.