Triple
T14722660
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Don Carlos |
E345853
|
entity |
| Predicate | translatedTitle |
P6688
|
FINISHED |
| Object | Don Carlo |
E754070
|
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: Don Carlo | Statement: [Don Carlos, translatedTitle, Don Carlo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Don Carlo Context triple: [Don Carlos, translatedTitle, Don Carlo]
-
A.
Simon Boccanegra
Simon Boccanegra is an opera by Giuseppe Verdi that tells the politically charged and emotionally complex story of a 14th-century Genoese doge.
-
B.
Don Giovanni
Don Giovanni is a renowned opera by Wolfgang Amadeus Mozart that blends dark comedy and drama in the tale of the libertine nobleman Don Juan.
-
C.
Tosca
Tosca is a feminine given name of Italian origin, best known today through its association with Giacomo Puccini’s opera and various contemporary bearers.
-
D.
Semiramide
Semiramide is an 1823 opera seria by Gioachino Rossini, renowned for its virtuosic vocal writing and grand bel canto style.
-
E.
Don Carlos
chosen
Don Carlos is a central character in Victor Hugo’s Romantic drama "Hernani," depicted as the ambitious and conflicted King of Spain (later Emperor Charles V).
- 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_69d822e5911c8190ba589f957dbd9ba7 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dec25d56fc8190871873ca55d49272 |
completed | April 14, 2026, 10:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdf0957bb081908f1f382f3be8ec20 |
completed | May 8, 2026, 2:17 p.m. |
Created at: April 10, 2026, 1:29 a.m.