Triple
T38650329
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Uncle Roland |
E939721
|
entity |
| Predicate | significantlyShapes |
P192545
|
FINISHED |
| Object | family story in The Caxtons |
—
|
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: family story in The Caxtons | Statement: [Uncle Roland, significantlyShapes, family story in The Caxtons]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: significantlyShapes Context triple: [Uncle Roland, significantlyShapes, family story in The Caxtons]
-
A.
coreShape
Indicates that one entity serves as the primary or central shape or geometric form of another entity.
-
B.
shapeType
Indicates the specific geometric form or category that characterizes an entity’s shape.
-
C.
shape
Indicates that one entity has a particular geometric or physical form characterized by the other entity.
-
D.
shaped
Indicates that one entity has given form, contour, or structure to another entity or outcome.
-
E.
الشكل
Indicates a relationship where one entity represents, takes, or describes the form, shape, or configuration of another entity.
- 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_69f76ede49648190a48bfe47032a05a3 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fd0d0ba5c48190bddb3f0e6637544c |
completed | May 7, 2026, 10:07 p.m. |
| PD | Predicate disambiguation | batch_69fd0c4324a8819086c90adf46216e0e |
completed | May 7, 2026, 10:03 p.m. |
| PDg | Predicate description generation | batch_69fd0d0aebac8190868a7714ddb4f1fd |
completed | May 7, 2026, 10:07 p.m. |
Created at: May 3, 2026, 4:33 p.m.