Triple
T13120764
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Irancy AOC |
E311712
|
entity |
| Predicate | typicalBlendComponent |
P2076
|
FINISHED |
| Object | César |
E1022839
|
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: César | Statement: [Irancy AOC, typicalBlendComponent, César]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: César Context triple: [Irancy AOC, typicalBlendComponent, 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
chosen
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
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.
Giulio Cesare
Giulio Cesare is a celebrated Baroque opera by George Frideric Handel, renowned for its virtuosic arias and dramatic portrayal of Julius Caesar’s encounter with Cleopatra.
-
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 (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_69d806a9fe888190b081e2d9ea665d6c |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98196e69081909111407ee3d9f08e |
completed | April 10, 2026, 11:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6eadcd7048190aa740262679e5bab |
completed | May 3, 2026, 6:27 a.m. |
Created at: April 9, 2026, 9:06 p.m.