Triple
T15273278
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Merzbow |
E365071
|
entity |
| Predicate | associatedAct |
P37
|
FINISHED |
| Object | Prurient |
E893770
|
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: Prurient | Statement: [Merzbow, associatedAct, Prurient]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Prurient Context triple: [Merzbow, associatedAct, Prurient]
-
A.
Prurient
chosen
Prurient is the noise and power electronics project of American musician Dominick Fernow, known for its harsh soundscapes and influential role in the experimental underground music scene.
-
B.
Chaurienne
Chaurienne is the French demonym for a female inhabitant of Castelnaudary, a town in the Occitanie region of southern France.
-
C.
Naughty
"Naughty" is a 1980 R&B and funk studio album by American singer Chaka Khan, known for its soulful vocals and polished production.
-
D.
Filthy
"Filthy" is a funk-influenced lead single by Justin Timberlake from his 2018 album "Man of the Woods."
-
E.
Perversité
Perversité is a novel by French writer Francis Carco, typically associated with his gritty, atmospheric portrayals of Parisian underworld life.
- 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_69d85a0f08408190b3c3259ae35d79d2 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e00950a9988190b67dfbc73b8bdbbc |
completed | April 15, 2026, 9:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fee6069f488190b74793200e5698ff |
completed | May 9, 2026, 7:45 a.m. |
Created at: April 10, 2026, 3:14 a.m.