Triple
T8876795
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mary Shelley |
E211305
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Valperga |
E165100
|
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: Valperga | Statement: [Mary Shelley, notableWork, Valperga]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Valperga Context triple: [Mary Shelley, notableWork, Valperga]
-
A.
Valperga
chosen
Valperga is a historical novel by Mary Shelley that reimagines the life and times of the 14th-century Italian warlord Castruccio Castracani through a blend of romance, politics, and philosophical reflection.
-
B.
Garaventa
Garaventa is a brand of the Doppelmayr Garaventa Group known for manufacturing ropeways and cable transport systems such as gondolas, chairlifts, and funiculars.
-
C.
Nigoglia
Nigoglia is the short river in northern Italy that uniquely flows northward out of Lake Orta toward the Strona and ultimately the Toce River.
-
D.
Crevalcore
Crevalcore is a small Italian town in the Emilia-Romagna region, known for its agricultural surroundings and historic architecture within the Bologna metropolitan area.
-
E.
Verghereto
Verghereto is a small Italian municipality in the Emilia-Romagna region, known for its mountainous Apennine landscape and proximity to the sources of major rivers like the Tiber.
- 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_69ca838e78748190934d82db3104f855 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc61472cc081909e51b4a35a20ef43 |
completed | April 1, 2026, 12:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfaba6f2f481909a30f71e96bc9079 |
completed | April 3, 2026, 11:59 a.m. |
Created at: March 30, 2026, 6:52 p.m.