Triple
T15079399
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stephen Morley |
E380096
|
entity |
| Predicate | hasClassPosition |
P72932
|
FINISHED |
| Object | working class |
—
|
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: working class | Statement: [Stephen Morley, hasClassPosition, working class]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasClassPosition Context triple: [Stephen Morley, hasClassPosition, working class]
-
A.
hasClass
Indicates that an entity belongs to, is categorized under, or is associated with a particular class or type.
-
B.
hasClassOptions
Indicates that an entity is associated with one or more selectable class options or classifications.
-
C.
isPositionOf
Indicates that one entity represents the spatial or organizational position or location of another entity.
-
D.
hasClassName
Indicates that an entity is associated with or identified by a specific class name in a classification or type system.
-
E.
hasClassGroup
chosen
Indicates that an entity belongs to or is associated with a particular class group 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_69d85cd7683881908d405c1b5d7b4f7f |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69dff80008c88190840f94222f867478 |
completed | April 15, 2026, 8:41 p.m. |
| PD | Predicate disambiguation | batch_69deb9645b9c8190a5712456dbd78029 |
completed | April 14, 2026, 10:02 p.m. |
Created at: April 10, 2026, 3:03 a.m.