Triple
T20255791
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Samuel Vanek |
E498697
|
entity |
| Predicate | hasMother |
P1909
|
FINISHED |
| Object | Amelia Vanek |
—
|
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: Amelia Vanek | Statement: [Samuel Vanek, hasMother, Amelia Vanek]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Amelia Vanek Context triple: [Samuel Vanek, hasMother, Amelia Vanek]
-
A.
Amelia Vanek
chosen
Amelia Vanek is the grieving widowed mother and central protagonist of the psychological horror film "The Babadook," whose deteriorating mental state drives much of the movie’s tension and terror.
-
B.
Carol Ann Vanek
Carol Ann Vanek is known as the former spouse of American actor Christopher Lloyd.
-
C.
Nicole Pechanec
Nicole Pechanec is a former Stanford and U.S. national team gymnast who later became a sports television producer and analyst.
-
D.
Nicole Bobek
Nicole Bobek is an American figure skater best known for winning the 1995 U.S. national title and earning a bronze medal at the 1995 World Championships.
-
E.
Sofia Hublitz
Sofia Hublitz is an American actress best known for playing Charlotte Byrde, the daughter of the main characters, in the Netflix crime drama series "Ozark."
- 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_69da6275fa6c8190952924930adee150 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e673ab60388190be32cc69bf2b6f76 |
completed | April 20, 2026, 6:42 p.m. |
Created at: April 11, 2026, 11:41 p.m.