Triple
T19598487
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | César Azpilicueta |
E470407
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | César |
—
|
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: César | Statement: [César Azpilicueta, givenName, César]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: César Context triple: [César Azpilicueta, givenName, César]
-
A.
César
César is a French film written and directed by Marcel Pagnol, forming the final part of his renowned Marseille trilogy.
-
B.
César
César is a rare, ancient red wine grape variety from Burgundy, France, known for producing deeply colored, tannic wines often blended in the Irancy appellation.
-
C.
César
chosen
César is a masculine given name of Latin origin, commonly used in Spanish- and Portuguese-speaking countries and derived from the Roman family name Caesar.
-
D.
César
César was a French ship of the line that fought in the 1782 Battle of the Saintes during the American Revolutionary War.
-
E.
Giulio Cesare
Giulio Cesare was an Italian Conte di Cavour–class battleship that served in the Regia Marina during both World Wars before later being transferred to the Soviet Navy as war reparations.
- 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_69d8e510024481908415c0d616fa6186 |
completed | April 10, 2026, 11:54 a.m. |
| NER | Named-entity recognition | batch_69e6407c52c081908704d3a4dd6e853b |
completed | April 20, 2026, 3:04 p.m. |
Created at: April 10, 2026, 1:43 p.m.