Triple
T21439973
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cesare d’Aragona |
E528911
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Cesare |
—
|
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: Cesare | Statement: [Cesare d’Aragona, givenName, Cesare]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cesare Context triple: [Cesare d’Aragona, givenName, Cesare]
-
A.
Cesare
Cesare is a character in Primo Levi's memoir "The Truce," depicted as an unpredictable, resourceful fellow survivor encountered during Levi's journey home after liberation from Auschwitz.
-
B.
Cesare
Cesare is the somnambulist character from the classic 1920 German Expressionist horror film "The Cabinet of Dr. Caligari."
-
C.
Cesare
chosen
Cesare is the given name of Cesare Burali-Forti, an Italian mathematician known for formulating the Burali-Forti paradox in set theory.
-
D.
Cesare da Sesto
Cesare da Sesto was an Italian High Renaissance painter and one of Leonardo da Vinci’s most important Lombard followers and interpreters.
-
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_69e0c4569fa081908101baa24f8745db |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e8b700237c8190bbcb4bedc4242719 |
completed | April 22, 2026, 11:54 a.m. |
Created at: April 16, 2026, 6:05 p.m.