Triple
T32454467
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beatrice Portinari |
E829383
|
entity |
| Predicate | hasCanonicalAppearance |
P82455
|
FINISHED |
| Object | Vita Nuova |
—
|
NE NERFINISHED |
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: Vita Nuova | Statement: [Beatrice Portinari, hasCanonicalAppearance, Vita Nuova]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCanonicalAppearance Context triple: [Beatrice Portinari, hasCanonicalAppearance, Vita Nuova]
-
A.
hasNoCanonicalAppearance
Indicates that the subject entity does not have a single, officially recognized or standard visual or physical representation.
-
B.
hasCanonicalAspect
chosen
Indicates that an entity is associated with its standard or officially recognized aspect, form, or representation.
-
C.
hasCanonicalRepresentation
Indicates that one entity is the standard or authoritative form in which another entity is represented.
-
D.
hasCanonicalStructure
Indicates that an entity conforms to or is associated with a standard, officially recognized structural form.
-
E.
hasCanonicalReference
Indicates that one entity serves as the authoritative or standard reference source for another entity.
- 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_69f3491df9288190afc0b23b1d6e72ce |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69fedec693b08190b0f8bfdb921e0766 |
completed | May 9, 2026, 7:14 a.m. |
| PD | Predicate disambiguation | batch_69fede16c1d48190a20d8a9c5722c307 |
completed | May 9, 2026, 7:11 a.m. |
Created at: May 1, 2026, 12:56 a.m.