Triple
T12005721
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Voodoo Lounge |
E285773
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object | Out of Tears |
E959463
|
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: Out of Tears | Statement: [Voodoo Lounge, hasTrack, Out of Tears]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Out of Tears Context triple: [Voodoo Lounge, hasTrack, Out of Tears]
-
A.
Out of Tears
chosen
Out of Tears is a 1994 ballad by The Rolling Stones, known for its melancholic tone and reflective lyrics, released as a single from their album "Voodoo Lounge."
-
B.
All Out of Tears
"All Out of Tears" is a song featured on the country music album "On Purpose" by Clint Black.
-
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.
Talk Thru the Tears
"Talk Thru the Tears" is a song featured on the album "Blue with Lou," showcasing a blend of rock and introspective lyricism.
-
E.
Rain and Tears
"Rain and Tears" is a 1968 baroque pop ballad by Greek band Aphrodite's Child, noted for its melancholic melody and prominent use of organ.
- 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_69d6ab45a368819084fce08bf0dc3705 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d903c5cfc08190821e4b2940c51416 |
completed | April 10, 2026, 2:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f49d259f7c81908366e7d9e61a6c73 |
completed | May 1, 2026, 12:31 p.m. |
Created at: April 8, 2026, 9:46 p.m.