Triple
T10192157
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Erik Møse |
E238062
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Møse
Møse is a Norwegian surname most notably borne by Erik Møse, a prominent jurist and international judge.
|
E847243
|
NE FINISHED |
How this triple was built (4 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: Møse | Statement: [Erik Møse, familyName, Møse]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Møse Context triple: [Erik Møse, familyName, Møse]
-
A.
Snogebæk
Snogebæk is a small coastal village and fishing hamlet on the Danish island of Bornholm, known for its harbor, beaches, and holiday atmosphere.
-
B.
Strømsø
Strømsø is a historic district and former separate town that now forms part of the city of Drammen in Norway.
-
C.
Vangsmjøse
Vangsmjøse is a lake in the Valdres region of Innlandet county, Norway, known for its scenic mountain surroundings and clear waters.
-
D.
Tjøme
Tjøme is a scenic island and former municipality in Vestfold, Norway, known for its coastal landscapes, summer cabins, and popular seaside recreation areas.
-
E.
Ormåsen
Ormåsen is a small residential village in Øvre Eiker municipality in Buskerud county, Norway.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Møse Triple: [Erik Møse, familyName, Møse]
Generated description
Møse is a Norwegian surname most notably borne by Erik Møse, a prominent jurist and international judge.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Møse Target entity description: Møse is a Norwegian surname most notably borne by Erik Møse, a prominent jurist and international judge.
-
A.
Snogebæk
Snogebæk is a small coastal village and fishing hamlet on the Danish island of Bornholm, known for its harbor, beaches, and holiday atmosphere.
-
B.
Strømsø
Strømsø is a historic district and former separate town that now forms part of the city of Drammen in Norway.
-
C.
Vangsmjøse
Vangsmjøse is a lake in the Valdres region of Innlandet county, Norway, known for its scenic mountain surroundings and clear waters.
-
D.
Tjøme
Tjøme is a scenic island and former municipality in Vestfold, Norway, known for its coastal landscapes, summer cabins, and popular seaside recreation areas.
-
E.
Ormåsen
Ormåsen is a small residential village in Øvre Eiker municipality in Buskerud county, Norway.
- F. None of above. chosen
Provenance (5 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_69ca84de1b208190bf17bb305b002605 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdedc4fb808190aae2e4b84be96f83 |
completed | April 2, 2026, 4:17 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d317ca2cf481909cf715ef9248be3c |
completed | April 6, 2026, 2:17 a.m. |
| NEDg | Description generation | batch_69d3188886908190ba0a5539ce942980 |
completed | April 6, 2026, 2:20 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d31c4fb8288190bbc6b3d4a79dafb1 |
completed | April 6, 2026, 2:37 a.m. |
Created at: March 30, 2026, 9:13 p.m.