Triple
T18498871
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Divine Comedy |
E452015
|
entity |
| Predicate | originalTitle |
P65
|
FINISHED |
| Object | Commedia |
—
|
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: Commedia | Statement: [Divine Comedy, originalTitle, Commedia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Commedia Context triple: [Divine Comedy, originalTitle, Commedia]
-
A.
Comedìa
chosen
Comedìa is the original Italian title of Dante Alighieri’s epic poem commonly known in English as the Divine Comedy.
-
B.
Commedia all’italiana
Commedia all’italiana is a postwar Italian film genre that blends sharp social satire with bittersweet, often dark humor to critique contemporary Italian society.
-
C.
Comédie-Italienne
The Comédie-Italienne was a Parisian theatre company specializing in Italian-language and later French-Italian comic performances, particularly commedia dell’arte and opera buffa.
-
D.
Comédie
Comédie is a tram stop in the city of Reims, France, serving passengers on the local tramway network.
-
E.
Commedia dell’arte
Commedia dell’arte is a form of early modern Italian improvised theater characterized by stock characters, masked performances, and highly physical, often comic scenarios.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8d3855d50819097fc8561b0299dd9 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e532c275388190aafe891d0202f82e |
completed | April 19, 2026, 7:53 p.m. |
Created at: April 10, 2026, 11:36 a.m.