Triple
T25715881
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oraisons funèbres |
E644861
|
entity |
| Predicate | modeOfComposition |
P159800
|
FINISHED |
| Object | carefully structured argumentation |
—
|
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: carefully structured argumentation | Statement: [Oraisons funèbres, modeOfComposition, carefully structured argumentation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: modeOfComposition Context triple: [Oraisons funèbres, modeOfComposition, carefully structured argumentation]
-
A.
compositionFrom
Indicates that something is formed or made up from specified constituent parts or materials.
-
B.
definesComposition
Indicates that one entity specifies or establishes the structural or component makeup of another entity.
-
C.
featuredComposition
Indicates that one entity is highlighted or prominently presented as a notable composition in relation to another entity (such as a collection, event, or creator).
-
D.
specialComposition
Indicates that one entity is composed of another in a distinctive or non-standard way, highlighting a particular or exceptional form of composition between them.
-
E.
possiblePlaceOfComposition
Indicates that a location is a plausible or hypothesized place where a work was composed.
- 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_69e77e8476fc8190bd5e9d05b89fad0a |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f5fc6211788190bb46c645902c2bc2 |
completed | May 2, 2026, 1:30 p.m. |
| PD | Predicate disambiguation | batch_69f5afec3e94819080d9ba86cf8c866e |
completed | May 2, 2026, 8:03 a.m. |
| PDg | Predicate description generation | batch_69f5f6b32a8881909baa0db57b80d56a |
completed | May 2, 2026, 1:05 p.m. |
Created at: April 21, 2026, 9:41 p.m.