Triple
T11588708
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kelly Pegula |
E274821
|
entity |
| Predicate | hasRelative |
P367
|
FINISHED |
| Object | Jessica Pegula |
E935268
|
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: Jessica Pegula | Statement: [Kelly Pegula, hasRelative, Jessica Pegula]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jessica Pegula Context triple: [Kelly Pegula, hasRelative, Jessica Pegula]
-
A.
Jessica Pegula
chosen
Jessica Pegula is an American professional tennis player known for her success on the WTA Tour and for being one of the top-ranked women’s singles competitors in the world.
-
B.
Laura Pegula
Laura Pegula is a member of the Pegula family, known for their prominence in American professional sports and business through ownership stakes in major franchises.
-
C.
Sloane Stephens
Sloane Stephens is an American professional tennis player best known for winning the 2017 US Open singles title and reaching a career-high ranking inside the WTA top 5.
-
D.
Kelly Pegula
Kelly Pegula is a member of the Pegula family, known for their prominent role in American professional sports ownership and business.
-
E.
Alexa Kenin
Alexa Kenin was an American film and television actress known for her supporting roles in 1980s movies such as "Pretty in Pink" and "Little Darlings."
- 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_69d6aae6b14c81908dc5a74bad7591f9 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d89463360c8190b91228c46bfe2e5f |
completed | April 10, 2026, 6:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ee86df14048190ae8f6d8b11610079 |
completed | April 26, 2026, 9:42 p.m. |
Created at: April 8, 2026, 9:38 p.m.