Triple
T8902865
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A Tale from the Decameron |
E211970
|
entity |
| Predicate | depictsAuthor |
P1581
|
FINISHED |
| Object | characters from The Decameron |
—
|
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: characters from The Decameron | Statement: [A Tale from the Decameron, depictsAuthor, characters from The Decameron]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: depictsAuthor Context triple: [A Tale from the Decameron, depictsAuthor, characters from The Decameron]
-
A.
authorOfDepiction
Indicates that one entity is the creator or author responsible for producing a particular depiction of another entity.
-
B.
depictsName
Indicates that something visually represents or portrays the name of an entity.
-
C.
depicts
chosen
Indicates that one entity visually represents, portrays, or shows another entity.
-
D.
depictionDetail
Indicates that one depiction provides additional detail, refinement, or a closer view of what is shown in another depiction.
-
E.
depictsNationality
Indicates that one entity visually represents or portrays the nationality or national identity of 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_69ca83918d3081909b326fa3750cb8c8 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc64c091d08190b59e54eb4a184e41 |
completed | April 1, 2026, 12:20 a.m. |
| PD | Predicate disambiguation | batch_69cc5ecf55248190a29f00fbf99f13c4 |
completed | March 31, 2026, 11:54 p.m. |
Created at: March 30, 2026, 6:55 p.m.