Triple
T18413451
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Settlers |
E441824
|
entity |
| Predicate | originalTitle |
P65
|
FINISHED |
| Object | Nybyggarna |
—
|
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: Nybyggarna | Statement: [The Settlers, originalTitle, Nybyggarna]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nybyggarna Context triple: [The Settlers, originalTitle, Nybyggarna]
-
A.
Nybyggarna
chosen
Nybyggarna is a novel by Swedish author Vilhelm Moberg, part of his acclaimed Emigrant series depicting Swedish settlers’ lives in 19th-century America.
-
B.
Nyby
Nyby is a surname most notably associated with American film and television director Christian Nyby.
-
C.
Brobyværk
Brobyværk is a small Danish village located on the island of Funen, known for its rural setting and local community within southern Denmark.
-
D.
Carlsson på taket
Carlsson på taket is a mischievous, self-confident man with a propeller on his back from Astrid Lindgren’s children’s books, known for living on a rooftop and causing humorous chaos.
-
E.
Södra huset
Södra huset is a prominent complex of interconnected university buildings at Stockholm University's Frescati campus, known for its distinctive modernist architecture and housing key lecture halls, offices, and libraries.
- 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_69d8b9eb8a508190a942fd75ebd8b1dc |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e51a259c1c819094e710bb4a7ace75 |
completed | April 19, 2026, 6:08 p.m. |
Created at: April 10, 2026, 10:47 a.m.