Triple
T19288233
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Celeste Van Dien |
E482369
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Celeste Van Dien |
—
|
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: Celeste Van Dien | Statement: [Celeste Van Dien, name, Celeste Van Dien]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Celeste Van Dien Context triple: [Celeste Van Dien, name, Celeste Van Dien]
-
A.
Celeste Van Dien
chosen
Celeste Van Dien is the daughter of American actress Catherine Oxenberg and actor Casper Van Dien.
-
B.
Kristen Lang
Kristen Lang is an actress best known for playing the infant character Elora Danan in the fantasy film "Willow."
-
C.
Amy Ruck
Amy Ruck was the wife of botanist Francis Darwin, son of Charles Darwin, and a member of the extended Darwin family circle in late 19th-century England.
-
D.
Maya Van Dien
Maya Van Dien is the daughter of American actress Catherine Oxenberg and actor Casper Van Dien.
-
E.
Bridget Hedison
Bridget Hedison is an American artist and photographer known for her contemporary mixed-media works and for being married to actress Jodie Foster.
- 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_69d8e8cf61b0819096fe3e4107827c4e |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5fc043fa481909bbe281a70fb508e |
completed | April 20, 2026, 10:12 a.m. |
Created at: April 10, 2026, 1:30 p.m.