Triple
T15864832
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vanessa Zima |
E384683
|
entity |
| Predicate | hasRelative |
P367
|
FINISHED |
| Object | Yvonne Zima |
E78230
|
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: Yvonne Zima | Statement: [Vanessa Zima, hasRelative, Yvonne Zima]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yvonne Zima Context triple: [Vanessa Zima, hasRelative, Yvonne Zima]
-
A.
Yvonne Zima
chosen
Yvonne Zima is an American actress known for her work as a child performer in films and television, including notable roles in 1990s thrillers and popular TV dramas.
-
B.
Dorothy Macha
Dorothy Macha is a ruthless and flamboyant crime boss portrayed by Ray Liotta in the psychological crime thriller film "Revolver" (2005).
-
C.
Evelyn Dumo
Evelyn Dumo is an actress known for her role in the film "The Love Light."
-
D.
Cecile Landi
Cecile Landi is a prominent French-American gymnastics coach best known for coaching Olympic champion Simone Biles and other elite U.S. gymnasts.
-
E.
Yvonne Dereany
Yvonne Dereany is known as the wife of New Zealand politician and former Prime Minister Mike Moore.
- 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_69d86da4e86481909f1325fdc971b5ec |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1555e4ee48190a3b27b4ab9bdb1c8 |
completed | April 16, 2026, 9:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffb59ddc488190ae6b6913f85005f6 |
completed | May 9, 2026, 10:30 p.m. |
Created at: April 10, 2026, 4:50 a.m.