Triple
T31864791
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jaz Coleman |
E813420
|
entity |
| Predicate | hasGenreAsPerception |
P191103
|
FINISHED |
| Object | post-punk/industrial frontman |
—
|
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: post-punk/industrial frontman | Statement: [Jaz Coleman, hasGenreAsPerception, post-punk/industrial frontman]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasGenreAsPerception Context triple: [Jaz Coleman, hasGenreAsPerception, post-punk/industrial frontman]
-
A.
hasGenreFeature
Indicates that something possesses a characteristic, element, or trait associated with a particular genre.
-
B.
hasGivenGenre
Indicates that an entity is associated with a specific genre that has been assigned or designated to it.
-
C.
hasGenreAsSetting
Indicates that a work’s setting is characterized by, or takes place within, a particular genre.
-
D.
hasGenreOfClaim
Indicates that a claim is categorized or classified under a particular genre or type of claim.
-
E.
hasUseGenre
Indicates that something (such as a work, product, or item) is associated with or categorized under a particular genre for its use or purpose.
- 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_69f348ecb07481909c8f72619131b115 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69fcda3699948190adb57625bae08091 |
completed | May 7, 2026, 6:30 p.m. |
| PD | Predicate disambiguation | batch_69fcd8fd16d08190b0aca6e19a632e99 |
completed | May 7, 2026, 6:25 p.m. |
| PDg | Predicate description generation | batch_69fcda35dc048190a3c90e15230900e0 |
completed | May 7, 2026, 6:30 p.m. |
Created at: April 30, 2026, 11:53 p.m.