Triple
T835674
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Asylum Records |
E18063
|
entity |
| Predicate | hasLabelType |
P2396
|
FINISHED |
| Object | major label imprint |
—
|
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: major label imprint | Statement: [Asylum Records, hasLabelType, major label imprint]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLabelType Context triple: [Asylum Records, hasLabelType, major label imprint]
-
A.
hasLabel
Indicates that an entity is associated with a specific textual label or name used to identify or describe it.
-
B.
haveType
Indicates that an entity belongs to or is classified under a specified type or category.
-
C.
hasTypeName
chosen
Indicates that an entity is associated with a specific type name used to classify or identify its kind.
-
D.
hasPropertyType
Indicates that an entity possesses or is associated with a specific type or category of property.
-
E.
hasAppellationType
Indicates that an entity’s name or title is associated with a specific category or type of appellation.
- 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_69a49389f44881909a608fb27d89f247 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4abce08348190b716e3ce5a638f99 |
completed | March 1, 2026, 9:12 p.m. |
| PD | Predicate disambiguation | batch_69a4aa7c7df881909c539c3ab8ff0367 |
completed | March 1, 2026, 9:07 p.m. |
Created at: March 1, 2026, 7:38 p.m.