Triple
T16959744
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maarten |
E411394
|
entity |
| Predicate | cognateWith |
P2525
|
FINISHED |
| Object | Mårten |
E973203
|
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: Mårten | Statement: [Maarten, cognateWith, Mårten]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mårten Context triple: [Maarten, cognateWith, Mårten]
-
A.
Göran
Göran is a Swedish masculine given name, commonly used in Sweden and borne by various notable figures.
-
B.
Mårten Trotzig
chosen
Mårten Trotzig was a German-born merchant who became a prominent and wealthy burgher in Stockholm during the late 16th and early 17th centuries.
-
C.
Kalle Moraeus
Kalle Moraeus is a Swedish musician and multi-instrumentalist, best known as a fiddler and member of the folk group Orsa Spelmän and for his work in various popular Swedish music projects.
-
D.
Eskil
Eskil is a town and district in central Turkey known for its location within Aksaray Province on the Central Anatolian plateau.
-
E.
Olle
Olle is the given name of Olle Wästberg, a Swedish journalist, politician, and former director-general of the Swedish Institute.
- 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_69d886c9c9d481909afe222093641cae |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d01f9ba881908dc8820b92869a63 |
completed | April 18, 2026, 6:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00d468f5048190aa43b212ec7a7306 |
completed | May 10, 2026, 6:54 p.m. |
Created at: April 10, 2026, 5:31 a.m.