Triple
T12173755
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Penny Oleksiak |
E290037
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Oleksiak
Oleksiak is the surname of Canadian Olympic swimmer Penny Oleksiak, known for her multiple medal-winning performances.
|
E967298
|
NE FINISHED |
How this triple was built (4 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: Oleksiak | Statement: [Penny Oleksiak, familyName, Oleksiak]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oleksiak Context triple: [Penny Oleksiak, familyName, Oleksiak]
-
A.
Olynyk
Olynyk is the surname of Canadian professional basketball player Kelly Olynyk, known for his versatile frontcourt play in the NBA.
-
B.
Kowalik
Kowalik is a Polish surname, likely of similar origin or family line to the surname Kowalski.
-
C.
Ockenga
Ockenga is a surname most notably associated with Harold Ockenga, a prominent American evangelical leader and theologian.
-
D.
Olesko
Olesko is a historic town in western Ukraine best known for its medieval castle, which served as the birthplace of Polish King John III Sobieski.
-
E.
Wiazemsky
Wiazemsky is a French surname most notably associated with actress and novelist Anne Wiazemsky, known for her work in 1960s and 1970s European cinema and literature.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Oleksiak Triple: [Penny Oleksiak, familyName, Oleksiak]
Generated description
Oleksiak is the surname of Canadian Olympic swimmer Penny Oleksiak, known for her multiple medal-winning performances.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Oleksiak Target entity description: Oleksiak is the surname of Canadian Olympic swimmer Penny Oleksiak, known for her multiple medal-winning performances.
-
A.
Olynyk
Olynyk is the surname of Canadian professional basketball player Kelly Olynyk, known for his versatile frontcourt play in the NBA.
-
B.
Kowalik
Kowalik is a Polish surname, likely of similar origin or family line to the surname Kowalski.
-
C.
Ockenga
Ockenga is a surname most notably associated with Harold Ockenga, a prominent American evangelical leader and theologian.
-
D.
Olesko
Olesko is a historic town in western Ukraine best known for its medieval castle, which served as the birthplace of Polish King John III Sobieski.
-
E.
Wiazemsky
Wiazemsky is a French surname most notably associated with actress and novelist Anne Wiazemsky, known for her work in 1960s and 1970s European cinema and literature.
- F. None of above. chosen
Provenance (5 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_69d6ab4d6c00819095a9a7c35de83cfb |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d915dab42881908e2580c631d4d1cf |
completed | April 10, 2026, 3:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f5f6a6de3081908e5e0030c081d5a4 |
completed | May 2, 2026, 1:05 p.m. |
| NEDg | Description generation | batch_69f603b639208190a284fcd7e88e9d54 |
completed | May 2, 2026, 2:01 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f60491eaec8190a16472fd37740ea0 |
completed | May 2, 2026, 2:05 p.m. |
Created at: April 8, 2026, 9:50 p.m.