Triple
T3279875
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Bathers |
E68845
|
entity |
| Predicate | formalConcern |
P47677
|
FINISHED |
| Object | exploration of volume and structure |
—
|
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: exploration of volume and structure | Statement: [The Bathers, formalConcern, exploration of volume and structure]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: formalConcern Context triple: [The Bathers, formalConcern, exploration of volume and structure]
-
A.
concern
Indicates that one entity is about, relates to, or is of interest or importance to another entity.
-
B.
formalContent
Indicates that the content is expressed in a formal, structured, or official manner, as opposed to casual or informal expression.
-
C.
raisedConcernAbout
Indicates that one entity has expressed worry, doubt, or objection regarding another entity or issue.
-
D.
formalFunction
Indicates that an entity serves an official or designated role or purpose within a formal structure, system, or context.
-
E.
formalizedUnder
Indicates that something has been officially established, defined, or codified within the framework, authority, or provisions of a particular formal system, agreement, or institution.
- 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_69ad859c463481909ca4be267336c290 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb0166c8c81909cb0a580ef319be3 |
completed | March 8, 2026, 5:21 p.m. |
| PD | Predicate disambiguation | batch_69ada420167c81909b6e2702db296d9e |
completed | March 8, 2026, 4:30 p.m. |
| PDg | Predicate description generation | batch_69ada526764881908e4bd52938d5374d |
completed | March 8, 2026, 4:34 p.m. |
Created at: March 8, 2026, 3:10 p.m.