Triple
T5599285
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cornelio Saavedra |
E147075
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Cornelio |
E293947
|
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: Cornelio | Statement: [Cornelio Saavedra, givenName, Cornelio]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cornelio Context triple: [Cornelio Saavedra, givenName, Cornelio]
-
A.
Cornelius
Cornelius is the ancient Roman gens (clan) to which the dictator Lucius Cornelius Sulla belonged.
-
B.
Cornelius
chosen
Cornelius is a masculine given name of Latin origin, historically associated with Roman families and later adopted in various European and English-speaking cultures.
-
C.
Cornelius
Cornelius is the given first name of Connie Mack, the legendary early 20th-century Major League Baseball manager and team owner.
-
D.
Celso
Celso is a small village in southern Italy that serves as a frazione (hamlet) of the municipality of Pollica in the Campania region.
-
E.
Cipriano
Cipriano is a masculine given name of Spanish origin, historically borne by figures such as the Protestant reformer and Bible translator Cipriano de Valera.
- 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_69c009043d648190a7af89698ccf1e3e |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c020d936dc8190a2e599f1df9fdd91 |
completed | March 22, 2026, 5:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c04d3be1bc8190a5cdc1bf694356a6 |
completed | March 22, 2026, 8:12 p.m. |
Created at: March 22, 2026, 3:38 p.m.