Triple
T3024305
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mirour de l’Omme |
E82539
|
entity |
| Predicate | hasAllegoricalCharacters |
P24039
|
FINISHED |
| Object | personified virtues |
—
|
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: personified virtues | Statement: [Mirour de l’Omme, hasAllegoricalCharacters, personified virtues]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAllegoricalCharacters Context triple: [Mirour de l’Omme, hasAllegoricalCharacters, personified virtues]
-
A.
hasAllegoricalFigures
chosen
Indicates that a work, scene, or element includes figures that symbolically represent abstract ideas, concepts, or moral qualities.
-
B.
hasEnigmaticCharacter
Indicates that something possesses a mysterious, puzzling, or difficult-to-interpret quality or nature.
-
C.
hasIconicCharacter
Indicates that something is associated with a character widely recognized as emblematic or highly representative of it.
-
D.
frameStoryCharacters
Indicates that one or more characters participate in or are involved in the narrative frame of a story (the outer or framing narrative).
-
E.
hasIconographicFigure
Indicates that one entity includes, depicts, or is associated with a particular iconographic figure in its visual or symbolic representation.
- 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_69ad8b1fb34081908c1b873e2b7273e1 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad9abac0288190a30b42674eea501f |
completed | March 8, 2026, 3:50 p.m. |
| PD | Predicate disambiguation | batch_69ad961c430c8190ac48f2e3c7e7c649 |
completed | March 8, 2026, 3:30 p.m. |
Created at: March 8, 2026, 3 p.m.