Triple
T13993728
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Back to Black |
E336642
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Tears Dry on Their Own |
E336647
|
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: Tears Dry on Their Own | Statement: [Back to Black, hasPart, Tears Dry on Their Own]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tears Dry on Their Own Context triple: [Back to Black, hasPart, Tears Dry on Their Own]
-
A.
Tears Dry on Their Own
chosen
"Tears Dry on Their Own" is a soul-influenced pop song by English singer-songwriter Amy Winehouse, featured on her acclaimed album "Back to Black."
-
B.
I’ll Dry My Tears
"I’ll Dry My Tears" is a song featured on the album "The Second Time Around."
-
C.
Tears and Rain
"Tears and Rain" is a song by James Blunt from his debut album *Back to Bedlam*, known for its melancholic lyrics and soft rock style.
-
D.
She No Longer Weeps
She No Longer Weeps is a stage play by Zimbabwean writer Tsitsi Dangarembga that explores themes of gender, independence, and postcolonial African society.
-
E.
All Out of Tears
"All Out of Tears" is a song featured on the country music album "On Purpose" by Clint Black.
- 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_69d81c639e808190a0e4b4f3d31c6a59 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2eb3b5d881909f15a1e08bb202f3 |
completed | April 14, 2026, 12:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fbac9a7e8c8190a0fd0cd67ff50741 |
completed | May 6, 2026, 9:03 p.m. |
Created at: April 9, 2026, 10:19 p.m.