Triple
T10620840
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Soviet Union women’s national gymnastics team |
E250194
|
entity |
| Predicate | notableMember |
P10
|
FINISHED |
| Object | Nellie Kim |
E504413
|
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: Nellie Kim | Statement: [Soviet Union women’s national gymnastics team, notableMember, Nellie Kim]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nellie Kim Context triple: [Soviet Union women’s national gymnastics team, notableMember, Nellie Kim]
-
A.
Nellie Kim
chosen
Nellie Kim is a former Soviet artistic gymnast renowned for her multiple Olympic gold medals in the 1970s and for pioneering difficult tumbling and vaulting skills.
-
B.
Alice Kim
Alice Kim is an American former waitress and actress best known as the ex-wife of actor Nicolas Cage.
-
C.
Kinam Kim
Kinam Kim is a prominent South Korean semiconductor executive and technologist recognized for his leadership and contributions to the global chip industry.
-
D.
Yuna Kim
Yuna Kim is a South Korean figure skating legend and Olympic champion widely celebrated for her technical excellence, artistry, and global impact on the sport.
-
E.
Willa Kim
Willa Kim was an acclaimed American costume designer known for her vibrant, innovative work on Broadway, ballet, and opera, earning multiple Tony Awards over her career.
- 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_69d6aa5993448190a493b790b8f85010 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6df70b0288190bf6edd705632ff02 |
completed | April 8, 2026, 11:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d96b908e788190bc9e4f327e871a7f |
completed | April 10, 2026, 9:28 p.m. |
Created at: April 8, 2026, 8:49 p.m.