Triple
T3593309
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kristiansund |
E76076
|
entity |
| Predicate | hasDemonym |
P191
|
FINISHED |
| Object |
kristiansunder
A kristiansunder is a resident or native of the Norwegian coastal city of Kristiansund.
|
E371982
|
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: kristiansunder | Statement: [Kristiansund, hasDemonym, kristiansunder]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: kristiansunder Context triple: [Kristiansund, hasDemonym, kristiansunder]
-
A.
Kristian
Kristian is a given name notably borne by Lauri Kristian Relander, the second President of Finland.
-
B.
Christiansen
Christiansen is a surname of Scandinavian origin borne by various individuals, including American television chef and author Sandra Lee.
-
C.
Cristiani
Cristiani is an Italian-origin surname most notably associated with Alfredo Cristiani, a former president of El Salvador.
-
D.
Svaty
Svaty is a popular Ukrainian comedy television series produced by Kvartal 95 Studio, known for its humorous portrayal of family life and generational clashes.
-
E.
The Christian
"The Christian" is a 1914 American silent drama film adaptation of Hall Caine’s popular novel, produced during the early feature-film era.
- 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: kristiansunder Triple: [Kristiansund, hasDemonym, kristiansunder]
Generated description
A kristiansunder is a resident or native of the Norwegian coastal city of Kristiansund.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: kristiansunder Target entity description: A kristiansunder is a resident or native of the Norwegian coastal city of Kristiansund.
-
A.
Kristian
Kristian is a given name notably borne by Lauri Kristian Relander, the second President of Finland.
-
B.
Christiansen
Christiansen is a surname of Scandinavian origin borne by various individuals, including American television chef and author Sandra Lee.
-
C.
Cristiani
Cristiani is an Italian-origin surname most notably associated with Alfredo Cristiani, a former president of El Salvador.
-
D.
Svaty
Svaty is a popular Ukrainian comedy television series produced by Kvartal 95 Studio, known for its humorous portrayal of family life and generational clashes.
-
E.
The Christian
"The Christian" is a 1914 American silent drama film adaptation of Hall Caine’s popular novel, produced during the early feature-film era.
- 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_69ad85d8042081908af94a04c410dec0 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc15bbbcc81908d6cf95f8e70c6ca |
completed | March 8, 2026, 6:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4030bc5f081908d56edc4ff550d77 |
completed | March 13, 2026, 12:28 p.m. |
| NEDg | Description generation | batch_69b403c9f6788190be21ee4c849fba60 |
completed | March 13, 2026, 12:32 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b408744dcc819081308b7182a40c88 |
completed | March 13, 2026, 12:52 p.m. |
Created at: March 8, 2026, 3:22 p.m.