Triple
T14908157
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A Young Girl Reading |
E371188
|
entity |
| Predicate | figureType |
P116630
|
FINISHED |
| Object | single figure |
—
|
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: single figure | Statement: [A Young Girl Reading, figureType, single figure]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: figureType Context triple: [A Young Girl Reading, figureType, single figure]
-
A.
typeOfFigure
Indicates that one entity is a specific kind or category of geometric figure relative to another.
-
B.
includesFigureType
Indicates that one entity contains or encompasses a specific type or category of figure within it.
-
C.
shapeType
Indicates the specific geometric form or category that characterizes an entity’s shape.
-
D.
graphicsType
Indicates the type or category of graphics associated with or used by an entity.
-
E.
formationType
Indicates the specific structural or organizational configuration in which something is arranged, created, or formed.
- 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_69d85cc7ea3481908228b5acb7d06f12 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded61b3c808190b4f6df4e5cb401ad |
completed | April 15, 2026, 12:04 a.m. |
| PD | Predicate disambiguation | batch_69de9a4a14a88190951bb8f4c60bd37b |
completed | April 14, 2026, 7:49 p.m. |
| PDg | Predicate description generation | batch_69deb1a4d8dc8190a4c0841c20f2875f |
completed | April 14, 2026, 9:29 p.m. |
Created at: April 10, 2026, 2:23 a.m.