Triple
T4639806
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Evers |
E101623
|
entity |
| Predicate | derivedFromGivenName |
P17
|
FINISHED |
| Object | Evert |
E166926
|
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: Evert | Statement: [Evers, derivedFromGivenName, Evert]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Evert Context triple: [Evers, derivedFromGivenName, Evert]
-
A.
Evert
chosen
Evert is a given name and surname of Germanic origin, used as a variant of names like Everett.
-
B.
Joanna Roos
Joanna Roos was an American stage, film, and television actress active in the mid-20th century.
-
C.
Anna Kournikova
Anna Kournikova is a former Russian professional tennis player and model who gained worldwide fame in the late 1990s and early 2000s for both her on-court success in doubles and her high-profile media presence.
-
D.
Martina Navratilova
Martina Navratilova is a legendary Czech-American tennis player widely regarded as one of the greatest in the sport’s history, known for her record number of Wimbledon singles titles and pioneering athletic longevity.
-
E.
Venus Williams
Venus Williams is an American professional tennis player renowned for her powerful game, multiple Grand Slam titles, and pioneering impact on equal prize money and representation in women’s tennis.
- 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_69bd43d3bc7c81908f81fcf380476b0f |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd5a8e0ee88190becab97d2ef1571a |
completed | March 20, 2026, 2:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bdfacf3cb08190a080e5ed1063902f |
completed | March 21, 2026, 1:56 a.m. |
Created at: March 20, 2026, 1:14 p.m.