Triple
T6765093
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Il ritorno d'Ulisse in patria |
E154697
|
entity |
| Predicate | dramaticTheme |
P73134
|
FINISHED |
| Object | recognition and disguise |
—
|
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: recognition and disguise | Statement: [Il ritorno d'Ulisse in patria, dramaticTheme, recognition and disguise]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dramaticTheme Context triple: [Il ritorno d'Ulisse in patria, dramaticTheme, recognition and disguise]
-
A.
dramaticForm
Indicates that one entity is expressed, structured, or realized in the form of a particular dramatic genre or theatrical mode.
-
B.
dramaticFunction
Indicates the role or purpose that something serves within the structure or progression of a dramatic work or narrative.
-
C.
dramaticConvention
Indicates a relationship where a particular technique, device, or practice is recognized and used as an accepted convention within dramatic or theatrical storytelling.
-
D.
dramaType
Indicates the specific category or genre of drama that characterizes an entity or work.
-
E.
dramaticRole
Indicates that one entity serves as a character or part played by another entity within a dramatic or theatrical work.
- 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_69c688109c1c8190added9a221292af0 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d22ed30881909e1bfcfb8cf175a2 |
completed | March 27, 2026, 6:53 p.m. |
| PD | Predicate disambiguation | batch_69c6d094105881909c5806eb4afa6306 |
completed | March 27, 2026, 6:46 p.m. |
| PDg | Predicate description generation | batch_69c6d1d5f1908190989efc8a2d18c965 |
completed | March 27, 2026, 6:52 p.m. |
Created at: March 27, 2026, 2:12 p.m.