Triple
T11728161
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Karlssen |
E278828
|
entity |
| Predicate | hasSpellingVariant |
P457
|
FINISHED |
| Object | Carlssen |
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: Carlssen | Statement: [Karlssen, hasSpellingVariant, Carlssen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Carlssen Context triple: [Karlssen, hasSpellingVariant, Carlssen]
-
A.
Karlssen
chosen
Karlssen is a Scandinavian-origin surname, likely a patronymic variant related to the more common name Carlson.
-
B.
Carlsson
Carlsson is a surname of Scandinavian origin, commonly used in Sweden and other Nordic countries.
-
C.
Robertsen
Robertsen is a surname of likely Scandinavian origin, functioning as a patronymic variant of the name Roberts.
-
D.
Wesselmann
Wesselmann is a surname most notably associated with Tom Wesselmann, a prominent American Pop Art painter known for his bold, stylized depictions of the nude and everyday consumer objects.
-
E.
Claes
Claes is a given name of Dutch origin, historically borne by early settlers such as Claes Maartenszen van Rosenvelt, an ancestor of the American Roosevelt family.
- 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.