Triple
T15273269
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Merzbow |
E365071
|
entity |
| Predicate | hasMassiveDiscography |
P117911
|
FINISHED |
| Object | true |
—
|
LITERAL 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: true | Statement: [Merzbow, hasMassiveDiscography, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMassiveDiscography Context triple: [Merzbow, hasMassiveDiscography, true]
-
A.
hasDiscographyIn
Indicates that an entity has released or contributed to musical recordings within a particular region, market, or catalog context.
-
B.
hasDiscographyWith
Indicates a relationship where two or more musical entities are associated through a shared or jointly produced discography.
-
C.
hasDiscographyUnderName
Indicates that an entity has released or published a body of recorded works (a discography) using a specified name or alias.
-
D.
hasDiscographyType
Indicates that an entity’s discography is classified as a specific type (such as studio albums, live albums, compilations, etc.).
-
E.
hasStudioAlbum
Indicates that an entity (typically an artist) is associated with or has released a particular studio album.
- F. None of above. chosen
Provenance (4 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. |
| PD | Predicate disambiguation | batch_69deca90739081909bd1b797cdb8af2b |
completed | April 14, 2026, 11:15 p.m. |
| PDg | Predicate description generation | batch_69decf2ca6148190967c319728ec3661 |
completed | April 14, 2026, 11:35 p.m. |
Created at: April 10, 2026, 3:14 a.m.