Triple
T13559923
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Reading |
E323878
|
entity |
| Predicate | usesCompositionalFocus |
P87465
|
FINISHED |
| Object | figures absorbed in books |
—
|
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: figures absorbed in books | Statement: [The Reading, usesCompositionalFocus, figures absorbed in books]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesCompositionalFocus Context triple: [The Reading, usesCompositionalFocus, figures absorbed in books]
-
A.
usesCompositionalDevice
chosen
Indicates that an entity employs a specific compositional technique or device in creating or structuring something.
-
B.
mayProvideFocus
Indicates that one entity can potentially direct attention, emphasis, or concentration toward another entity or aspect.
-
C.
accessibilityFocus
Indicates that a particular user interface element is currently the primary target of accessibility tools, such as screen readers or keyboard navigation.
-
D.
canonicalFocus
Indicates that one entity is the primary or most representative focus or point of attention in relation to another entity.
-
E.
focusable
Indicates that an entity can receive input focus or become the active target for user interaction or navigation.
- 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_69d8076830b48190910a902bae5888e2 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbbb9ee3f081909056dc1a92c40b7a |
completed | April 12, 2026, 3:34 p.m. |
| PD | Predicate disambiguation | batch_69dbae13bec4819084c1770638c00ed9 |
completed | April 12, 2026, 2:37 p.m. |
Created at: April 9, 2026, 9:47 p.m.