Triple
T11728034
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Karlsson |
E278822
|
entity |
| Predicate | isRelatedSurname |
P3889
|
FINISHED |
| Object | Karlssen |
E278828
|
NE FINISHED |
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: Karlssen | Statement: [Karlsson, isRelatedSurname, Karlssen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Karlssen Context triple: [Karlsson, isRelatedSurname, Karlssen]
-
A.
Karlssen
chosen
Karlssen is a Scandinavian-origin surname, likely a patronymic variant related to the more common name Carlson.
-
B.
Kåre
Kåre is a Scandinavian male given name, commonly used in countries such as Sweden and Norway.
-
C.
Julius Skarlandt
Julius Skarlandt was a Czech sports official best known for leading the organization of the 1964 Winter Olympics in Innsbruck.
-
D.
Eirik Bakke
Eirik Bakke is a Norwegian former professional footballer and current football manager known for his midfield career at clubs like Leeds United and his coaching roles in Norwegian football.
-
E.
Torbjørn
Torbjørn is a Scandinavian masculine given name, particularly common in Norway, derived from Old Norse elements meaning "Thor" and "bear."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d6aaffec6881908bead509e8621742 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a4d80ef881908cab956787ab07fd |
completed | April 10, 2026, 7:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ef83e9efdc8190830f9b9cb5362b1c |
completed | April 27, 2026, 3:42 p.m. |
Created at: April 8, 2026, 9:41 p.m.