Triple
T20570185
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Billy Getty |
E505073
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Vanessa Getty |
—
|
NE NERFINISHED |
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: Vanessa Getty | Statement: [Billy Getty, spouse, Vanessa Getty]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vanessa Getty Context triple: [Billy Getty, spouse, Vanessa Getty]
-
A.
Vanessa Getty
chosen
Vanessa Getty is a San Francisco–based philanthropist and socialite known for her involvement in charitable causes and the fashion and arts communities.
-
B.
Gisele MacKenzie
Gisele MacKenzie was a Canadian singer and television personality best known for her popular vocal performances in the 1950s, including several hit recordings and frequent appearances on variety shows.
-
C.
Vanessa Vadim
Vanessa Vadim is a French-American filmmaker and environmental activist, best known as the daughter of actress Jane Fonda and director Roger Vadim.
-
D.
Vanessa Angel
Vanessa Angel is an English actress and former model best known for her roles in the film "Kingpin" and the TV series "Weird Science."
-
E.
Linda Evangelista
Linda Evangelista is a Canadian supermodel renowned as one of the most prominent faces of the 1990s fashion industry and a key member of the original “supermodel” era.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4b721588190993ac7b0a9be2736 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6a7a5b0688190b45d0fa993c4765c |
completed | April 20, 2026, 10:24 p.m. |
Created at: April 16, 2026, 11:39 a.m.