Triple
T22800582
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joe Swanberg |
E564378
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | 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: Swanberg | Statement: [Joe Swanberg, familyName, Swanberg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Swanberg Context triple: [Joe Swanberg, familyName, Swanberg]
-
A.
Swanberg
chosen
Swanberg is a surname most notably associated with American independent filmmaker and actor Joe Swanberg, a key figure in the mumblecore movement.
-
B.
Seeberg
Seeberg is a German-language surname associated with various notable individuals, including theologian Reinhold Seeberg.
-
C.
Seeberg
Seeberg is a small Swiss municipality located in the Emmental region of the canton of Bern.
-
D.
Schehring
Schehring is an alternative spelling or variant name of Schering, a historic German pharmaceutical and chemical company known for its contributions to medicine and life sciences.
-
E.
Sundsberg
Sundsberg is a residential village and district in the municipality of Kirkkonummi in southern Finland, known for its modern housing and proximity to the Helsinki metropolitan area.
- 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.