Triple
T11732234
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | This Mortal Coil |
E278924
|
entity |
| Predicate | album |
P1995
|
FINISHED |
| Object | It'll End in Tears |
E942221
|
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: It'll End in Tears | Statement: [This Mortal Coil, album, It'll End in Tears]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: It'll End in Tears Context triple: [This Mortal Coil, album, It'll End in Tears]
-
A.
It'll End in Tears
chosen
"It'll End in Tears" is the 1984 debut album by the 4AD collective This Mortal Coil, known for its ethereal soundscapes and haunting reinterpretations of songs by other artists.
-
B.
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.
-
C.
All Out of Tears
"All Out of Tears" is a song featured on the country music album "On Purpose" by Clint Black.
-
D.
I’ll Dry My Tears
"I’ll Dry My Tears" is a song featured on the album "The Second Time Around."
-
E.
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.
- 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_69d6aaffec6881908bead509e8621742 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a4d94de08190a7184cf26d8cb94e |
completed | April 10, 2026, 7:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f0199f595081908c10ecd7dd3900e7 |
completed | April 28, 2026, 2:21 a.m. |
Created at: April 8, 2026, 9:41 p.m.