Triple
T19704207
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DogVacay |
E473168
|
entity |
| Predicate | hasKeyPerson |
P256
|
FINISHED |
| Object | Karine Nissim |
—
|
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: Karine Nissim | Statement: [DogVacay, hasKeyPerson, Karine Nissim]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Karine Nissim Context triple: [DogVacay, hasKeyPerson, Karine Nissim]
-
A.
Karine Nissim
chosen
Karine Nissim is an entrepreneur best known as a co-founder of the online pet-sitting and boarding marketplace DogVacay.
-
B.
Karin Argoud
Karin Argoud is an American actress best known for her role as Sonja Harper on the television sitcom "Mama’s Family."
-
C.
Brigitte Aron
Brigitte Aron is known primarily as the daughter of the influential French philosopher, sociologist, and political commentator Raymond Aron.
-
D.
Aline Chazal
Aline Chazal was the mother of French Post-Impressionist painter Paul Gauguin and a key familial influence during his early life.
-
E.
Yaël Braun-Pivet
Yaël Braun-Pivet is a French politician who serves as President of the National Assembly and is a prominent member of the centrist Renaissance party.
- 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_69d8e516dd048190a0b6c93ea3e71f58 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e642b8707081908fbf96c989d2d52d |
completed | April 20, 2026, 3:14 p.m. |
Created at: April 10, 2026, 1:46 p.m.