Triple
T14007621
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anna Kournikova |
E336991
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Kournikova |
E336991
|
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: Kournikova | Statement: [Anna Kournikova, familyName, Kournikova]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kournikova Context triple: [Anna Kournikova, familyName, Kournikova]
-
A.
Anna Kournikova
chosen
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.
-
B.
Angela Bartys
Angela Bartys is an American voice actress best known for voicing the fairy Fawn in Disney's Tinker Bell film series.
-
C.
Anna Sabatini
Anna Sabatini was the mother of renowned Italian-English novelist Rafael Sabatini, likely part of the culturally rich background that influenced his literary career.
-
D.
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.
-
E.
Yevgeniya Makhankova
Yevgeniya Makhankova is a Soviet film editor best known for her work on the classic 1977 romantic comedy "Office Romance."
- 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_69d81c645c5c8190b1fd16a285a1b78a |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2ed327d88190a53af5768468a8eb |
completed | April 14, 2026, 12:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fbc329891c8190b4dcb9913e235a1c |
completed | May 6, 2026, 10:39 p.m. |
Created at: April 9, 2026, 10:19 p.m.