Triple
T14213071
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Angband |
E352277
|
entity |
| Predicate | activeInGenreScene |
P61824
|
FINISHED |
| Object | Iranian metal scene |
—
|
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: Iranian metal scene | Statement: [Angband, activeInGenreScene, Iranian metal scene]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: activeInGenreScene Context triple: [Angband, activeInGenreScene, Iranian metal scene]
-
A.
associatedWithGenreScene
Indicates that an entity is connected or related to a particular genre scene, such as a specific stylistic or cultural subcommunity within a broader genre.
-
B.
activeInScene
chosen
Indicates that an entity is currently present and participating within a particular scene or context.
-
C.
parentGenreScene
Indicates that one scene genre functions as the parent or broader category of another scene genre.
-
D.
hasGenreInRoles
Indicates that an entity participates in roles associated with a particular genre or set of genres.
-
E.
performedInSceneType
Indicates that an action or event was carried out within a scene of a specified type or category.
- F. None of above.
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_69d8278a06e481908b5d6af0a8afe737 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de620f07bc81909212dcd1c91b5f95 |
completed | April 14, 2026, 3:49 p.m. |
| PD | Predicate disambiguation | batch_69de05bcd7d48190a4848d9320404aa6 |
completed | April 14, 2026, 9:15 a.m. |
Created at: April 10, 2026, 1:06 a.m.