Triple
T17919187
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Giuseppe Rosaroll |
E448019
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Rosaroll |
—
|
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: Rosaroll | Statement: [Giuseppe Rosaroll, familyName, Rosaroll]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rosaroll Context triple: [Giuseppe Rosaroll, familyName, Rosaroll]
-
A.
Rosaroll
chosen
Rosaroll was an Italian Philhellene and military figure known for supporting the Greek War of Independence in the early 19th century.
-
B.
Rolo
Rolo is a diminutive form of the given name Roland, often used as a familiar or affectionate nickname.
-
C.
Toffen
Toffen is a small Swiss municipality in the canton of Bern, located in the Gürbetal valley near the city of Bern.
-
D.
Bon-Bon
Bon-Bon is a common affectionate nickname, often used for people named Bonnie or for characters in popular media.
-
E.
Barpak
Barpak is a mountainous village in central Nepal known as the epicenter of the devastating 2015 Gorkha earthquake and for its scenic Himalayan landscapes.
- 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_69d8b9f6d394819082a6d69fd1e23d2f |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e4a30844548190b7a43c2f093f35d7 |
completed | April 19, 2026, 9:40 a.m. |
Created at: April 10, 2026, 10:20 a.m.