Triple
T19486045
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kristīne Opolais |
E487513
|
entity |
| Predicate | notableRole |
P22
|
FINISHED |
| Object | Tosca |
—
|
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: Tosca | Statement: [Kristīne Opolais, notableRole, Tosca]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tosca Context triple: [Kristīne Opolais, notableRole, Tosca]
-
A.
Tosca
chosen
Tosca is a feminine given name of Italian origin, best known today through its association with Giacomo Puccini’s opera and various contemporary bearers.
-
B.
Aida (opera)
Aida (opera) is Giuseppe Verdi’s grand 1871 opera set in ancient Egypt, renowned for its dramatic love triangle, monumental choruses, and elaborate staging.
-
C.
Lorenzaccio
Lorenzaccio is a 19th-century French Romantic drama by Alfred de Musset, renowned for its complex, brooding title character and its exploration of political corruption and moral ambiguity in Renaissance Florence.
-
D.
La Favorita
La Favorita is the traditional local name of Palermo’s main football stadium, officially known as Stadio Renzo Barbera, in Sicily, Italy.
-
E.
Aída
Aída is a Spanish television series in which actress Lorena Bernal appeared in a notable role.
- 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_69d8e8d924388190b847cb15bb3d0aff |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6343f46e88190b7ba65c210285bee |
completed | April 20, 2026, 2:12 p.m. |
Created at: April 10, 2026, 1:39 p.m.