Triple
T19486057
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Opolais |
E487513
|
entity |
| Predicate | usedBy |
P260
|
FINISHED |
| Object | Kristīne Opolais |
—
|
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: Kristīne Opolais | Statement: [Opolais, usedBy, Kristīne Opolais]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kristīne Opolais Context triple: [Opolais, usedBy, Kristīne Opolais]
-
A.
Kristīne Opolais
chosen
Kristīne Opolais is a renowned Latvian soprano celebrated for her performances in major opera houses worldwide, particularly in the works of Puccini and other late-Romantic composers.
-
B.
Annemarie Bertel
Annemarie Bertel was the wife of Austrian physicist and Nobel laureate Erwin Schrödinger.
-
C.
Olga Fonda
Olga Fonda is a Russian-American model and actress known for her roles in films like "Real Steel" and the TV series "The Vampire Diaries."
-
D.
Ingrid Bisu
Ingrid Bisu is a Romanian-German actress, screenwriter, and producer known for her work in films such as "Toni Erdmann" and for co-writing and appearing in the horror film "Malignant."
-
E.
Elle Poland
Elle Poland is the Polish edition of the international fashion and lifestyle magazine Elle, featuring content tailored to Polish readers and culture.
- 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.