Triple
T17065943
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baker Dill |
E414088
|
entity |
| Predicate | hasFormerSpouse |
P23411
|
FINISHED |
| Object | Karen Zariakas |
—
|
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: Karen Zariakas | Statement: [Baker Dill, hasFormerSpouse, Karen Zariakas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Karen Zariakas Context triple: [Baker Dill, hasFormerSpouse, Karen Zariakas]
-
A.
Karen Zariakas
chosen
Karen Zariakas is the central female protagonist in the 2019 neo-noir thriller film "Serenity," whose mysterious reappearance drives the plot’s psychological and moral conflicts.
-
B.
Erika Eleniak
Erika Eleniak is an American actress and former Playboy Playmate best known for her roles in the TV series "Baywatch" and films such as "Under Siege."
-
C.
Lisa Gottsegen
Lisa Gottsegen is an American businesswoman and philanthropist best known as the longtime wife of actor Dustin Hoffman.
-
D.
Lisa Katselas
Lisa Katselas is a film producer best known for her work on notable independent and art-house films in the 1990s.
-
E.
Carrie Sciandra
Carrie Sciandra was the wife of notorious Pennsylvania crime boss Russell Bufalino, associated with the American Mafia.
- 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_69d886cde3d481908d4d01ba88ba7eb7 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3db8171348190ab68d2e4f05f7120 |
completed | April 18, 2026, 7:29 p.m. |
Created at: April 10, 2026, 5:34 a.m.