Triple
T12473309
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paulinus of Nola |
E298113
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Carmina |
E845680
|
NE 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: Carmina | Statement: [Paulinus of Nola, notableWork, Carmina]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Carmina Context triple: [Paulinus of Nola, notableWork, Carmina]
-
A.
Carmina
Carmina is a collection of Latin poems by the French Renaissance humanist and scholar Étienne Dolet.
-
B.
Carmina
Carmina is the celebrated collection of lyric poems by the Roman poet Catullus, renowned for its passionate expressions of love, friendship, and invective.
-
C.
Carmina
chosen
Carmina is a collection of Latin poems by the late Roman author Sidonius Apollinaris, reflecting the literary and cultural life of fifth-century Gaul.
-
D.
Amorina
Amorina is a 19th-century Swedish novel by Carl Jonas Love Almqvist, known for its romantic and psychological depth within early modern Swedish literature.
-
E.
La Dea
La Dea is the widely used nickname for Italian football club Atalanta Bergamasca Calcio, referencing the mythological goddess Atalanta.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d6ada270808190b1a2b2e7b02bb426 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94dca022c819082138fd4d08516da |
completed | April 10, 2026, 7:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f63f2373308190b41aafa635c8de5e |
completed | May 2, 2026, 6:14 p.m. |
Created at: April 8, 2026, 9:56 p.m.