Triple
T16256843
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Perske |
E394651
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Perski |
E287915
|
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: Perski | Statement: [Perske, hasVariant, Perski]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Perski Context triple: [Perske, hasVariant, Perski]
-
A.
Perski
chosen
Perski is a Polish surname most notably borne by individuals such as Szymon Perski, better known as Shimon Peres, the former President and Prime Minister of Israel.
-
B.
Rajsko
Rajsko is a village in southern Poland located in the administrative district of Gmina Oświęcim in Lesser Poland Voivodeship.
-
C.
Burúśaski
Burúśaski is a language isolate spoken primarily in northern Pakistan, notable for its unique grammatical structure and lack of proven relation to any other language family.
-
D.
Rusk
Rusk is a surname most notably associated with Dean Rusk, who served as United States Secretary of State during the Kennedy and Johnson administrations.
-
E.
Pechanec
Pechanec is a Czech surname most notably borne by Nicole Pechanec, a former elite gymnast and sports television producer.
- 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_69d87f221d8081909b0b2063e7528ba2 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e2459b1624819086bf681075097235 |
completed | April 17, 2026, 2:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a000eebcfe481909822290d3a7b361c |
completed | May 10, 2026, 4:51 a.m. |
Created at: April 10, 2026, 5:04 a.m.