Triple
T9284080
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Martin |
E223140
|
entity |
| Predicate | hasCognate |
P2525
|
FINISHED |
| Object | Mårten |
E139012
|
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: [Martin, hasCognate, Mårten]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mårten Context triple: [Martin, hasCognate, Mårten]
-
A.
Göran
Göran is a Swedish masculine given name, commonly used in Sweden and borne by various notable figures.
-
B.
Olle
Olle is the given name of Olle Wästberg, a Swedish journalist, politician, and former director-general of the Swedish Institute.
-
C.
Bror
Bror is a given name, notably used as one of the personal names of Swedish musician and ABBA member Benny Andersson.
-
D.
Nils
Nils is a Scandinavian male given name, commonly used in countries like Norway and Sweden and derived from the name Nicholas.
-
E.
Morten
chosen
Morten is a masculine given name commonly used in Scandinavian countries, derived from the Latin name Martinus.
- 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_69ca842123588190b3f2e1a69037d141 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd081e72988190917f425e64631837 |
completed | April 1, 2026, 11:57 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0b21d8f1081909b2493151fde4a5f |
completed | April 4, 2026, 6:39 a.m. |
Created at: March 30, 2026, 7:34 p.m.