Triple
T23122561
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Julius Caesar (play) |
E576935
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object | Casca |
—
|
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: Casca | Statement: [Julius Caesar (play), mainCharacter, Casca]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Casca Context triple: [Julius Caesar (play), mainCharacter, Casca]
-
A.
Casca
chosen
Casca was one of the leading conspirators in the assassination of Julius Caesar, remembered for being among the first to strike during the attack in the Roman Senate.
-
B.
Alpidio
Alpidio is a masculine given name of Latin origin, used primarily in Spanish-speaking countries.
-
C.
Cesar
Cesar is a given name and surname used in various languages, commonly associated with the historical legacy of "Caesar" and borne by numerous notable figures in politics, arts, and sports.
-
D.
Tarracus
Tarracus is the official mascot character created for the 2018 Mediterranean Games held in Tarragona, Spain.
-
E.
Ciro
Ciro is a masculine given name of Italian and Spanish origin, often used in various countries around the world.
- 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_69e245f6c2e881909a228fdcfeb7c7d3 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18e517a0481909829a73fdf255d1c |
completed | April 29, 2026, 4:51 a.m. |
Created at: April 17, 2026, 3:59 p.m.