Triple
T22800596
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joe Swanberg |
E564378
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Kris Swanberg |
—
|
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: Kris Swanberg | Statement: [Joe Swanberg, spouse, Kris Swanberg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kris Swanberg Context triple: [Joe Swanberg, spouse, Kris Swanberg]
-
A.
Kris Swanberg
chosen
Kris Swanberg is an American filmmaker and former independent ice cream business owner known for her work in the Chicago indie film scene.
-
B.
Kris Bergen
Kris Bergen is known primarily as the daughter of famed American ventriloquist and actor Edgar Bergen.
-
C.
Kaili Vernoff
Kaili Vernoff is an American actress known for her work in film, television, and video games, including frequent collaborations with writer-director Noah Baumbach and roles in projects like "Mildred Pierce" and "Red Dead Redemption 2."
-
D.
Jarin Blaschke
Jarin Blaschke is an American cinematographer best known for his stark, atmospheric black-and-white work on films like "The Lighthouse."
-
E.
Rachel Sennott
Rachel Sennott is an American actress and comedian known for her roles in indie films like "Shiva Baby" and the comedy "Bottoms," as well as various television projects.
- 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_69e2458185f88190b0045227ee420411 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17cdc72908190827c9e36a498dc97 |
completed | April 29, 2026, 3:37 a.m. |
Created at: April 17, 2026, 3:31 p.m.