Triple
T22670024
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Living Colour |
E559895
|
entity |
| Predicate | album |
P1995
|
FINISHED |
| Object | Stain |
—
|
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: Stain | Statement: [Living Colour, album, Stain]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stain Context triple: [Living Colour, album, Stain]
-
A.
Stain
"Stain" is a song by the American rock band Nirvana, featured on their 1992 compilation album *Incesticide*.
-
B.
Stain
Stain is a minor character from the animated television series "Rocket Power," known for being part of the show's ensemble of kids involved in extreme sports adventures.
-
C.
Stain
chosen
Stain is a 1993 hard rock and heavy metal album by guitarist Vernon Reid’s band Living Colour, noted for its darker, more experimental sound.
-
D.
Stains
Stains is a suburban commune in the northern outskirts of Paris, France, known for its residential neighborhoods and diverse population.
-
E.
Stained Class
Stained Class is a 1978 heavy metal album by Judas Priest, often credited with helping define the genre’s classic sound through its aggressive riffs and dark, futuristic themes.
- 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_69e2454a158c819093b8e35f5045efb6 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1781ed50c8190a6943f51d7337b49 |
completed | April 29, 2026, 3:16 a.m. |
Created at: April 17, 2026, 3:10 p.m.