Triple
T17697508
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Violetta Valéry |
E441209
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Violetta |
—
|
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: Violetta | Statement: [Violetta Valéry, givenName, Violetta]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Violetta Context triple: [Violetta Valéry, givenName, Violetta]
-
A.
Violetta Valéry
chosen
Violetta Valéry is the tragic courtesan heroine of Giuseppe Verdi’s opera "La Traviata," renowned as one of the most demanding and iconic soprano roles in the operatic repertoire.
-
B.
Violeta
Violeta is a novel by Chilean author Isabel Allende that follows the tumultuous, century-long life of a woman born during the 1918 Spanish flu pandemic.
-
C.
Valeria
Valeria is the clever, sharp-tongued heroine of George Farquhar’s Restoration comedy "The Witty Fair One."
-
D.
Valeria
Valeria is a character in the Mexican film "Amores perros," a successful model whose life is dramatically altered by a devastating car accident.
-
E.
Valeria
Valeria was a Roman imperial princess and later empress, best known as the daughter of Emperor Diocletian and for her tragic fate during the political turmoil of the Tetrarchy.
- 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_69d8b9ea20b48190ace88bb46b01e6a9 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e47157fd688190ba990eaf46ceab01 |
completed | April 19, 2026, 6:08 a.m. |
Created at: April 10, 2026, 10:04 a.m.