Triple
T18383863
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beth Ostrosky Stern |
E446527
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Ostrosky |
—
|
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: Ostrosky | Statement: [Beth Ostrosky Stern, familyName, Ostrosky]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ostrosky Context triple: [Beth Ostrosky Stern, familyName, Ostrosky]
-
A.
Vasishka
Vasishka was a Kushan emperor who ruled parts of northern India and Central Asia in the early 3rd century CE, known primarily from his inscriptions and coinage.
-
B.
Mereschkowski
Mereschkowski is the surname of Konstantin Mereschkowski, a Russian biologist known for proposing the theory of symbiogenesis in the early 20th century.
-
C.
Lodoïska
Lodoïska is an opera by Luigi Cherubini, recognized as an important early example of French opéra comique with strong dramatic intensity and influence on later Romantic opera.
-
D.
Grusinsky
chosen
Grusinsky is a surname of likely Eastern European or Russian origin.
-
E.
Solyony
Solyony is a volatile and eccentric army officer in Anton Chekhov’s play "Three Sisters," known for his morbid humor and ultimately tragic duel.
- 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_69d8b9f370b88190b1e5081c2c238e7f |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e5179da1048190944398e229e7a4c1 |
completed | April 19, 2026, 5:57 p.m. |
Created at: April 10, 2026, 10:45 a.m.