Triple
T8563480
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peter Ivanovich |
E202743
|
entity |
| Predicate | workThemeContext |
P56598
|
FINISHED |
| Object | critique of bourgeois values |
—
|
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: critique of bourgeois values | Statement: [Peter Ivanovich, workThemeContext, critique of bourgeois values]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: workThemeContext Context triple: [Peter Ivanovich, workThemeContext, critique of bourgeois values]
-
A.
associatedWithWorkTheme
chosen
Indicates a relationship where something is connected or related to a particular work theme or subject matter.
-
B.
centralThemeContext
Indicates that one concept serves as the main thematic focus within the situational, narrative, or discourse context defined by another.
-
C.
themeFor
Indicates that something serves as the central subject, topic, or focus for another thing (such as an event, work, or activity).
-
D.
workScope
Indicates the defined range, extent, and boundaries of tasks or responsibilities involved in a particular work activity or project.
-
E.
primaryWorkContext
Indicates the main environment, setting, or domain in which an entity typically performs its work or primary activities.
- 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_69ca8326e6c881908ff720d6abaebdc5 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe9cfc4a48190ae4530d3614d115f |
completed | March 31, 2026, 3:35 p.m. |
| PD | Predicate disambiguation | batch_69cbd11856048190a1ce4b83a38f6965 |
completed | March 31, 2026, 1:50 p.m. |
Created at: March 30, 2026, 6:20 p.m.