Triple
T1321211
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rigmor Aasrud |
E28221
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Rigmor
Rigmor is a feminine given name of Scandinavian origin, particularly used in Norway and Denmark.
|
E151232
|
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: Rigmor | Statement: [Rigmor Aasrud, givenName, Rigmor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rigmor Context triple: [Rigmor Aasrud, givenName, Rigmor]
-
A.
Hyllus
Hyllus is a figure in Greek mythology known as the son of Heracles and Deianira, often associated with the Dorian invasion and the Heracleidae.
-
B.
Vallader
Vallader is a major dialect of the Romansh language spoken primarily in Switzerland’s Lower Engadine region and used in local literature and education.
-
C.
Hestur
Hestur is a small, sparsely populated island in the central Faroe Islands known for its steep cliffs, birdlife, and traditional Faroese landscape.
-
D.
Willahelm
Willahelm is a Germanic given name that is the historical root of names like Willem and William, traditionally meaning "resolute protector."
-
E.
Audun Tron
Audun Tron is a Norwegian politician who served as the mayor of Lillehammer during the period when the city hosted the 1994 Winter Olympics.
- 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: Rigmor Triple: [Rigmor Aasrud, givenName, Rigmor]
Generated description
Rigmor is a feminine given name of Scandinavian origin, particularly used in Norway and Denmark.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Rigmor Target entity description: Rigmor is a feminine given name of Scandinavian origin, particularly used in Norway and Denmark.
-
A.
Hyllus
Hyllus is a figure in Greek mythology known as the son of Heracles and Deianira, often associated with the Dorian invasion and the Heracleidae.
-
B.
Vallader
Vallader is a major dialect of the Romansh language spoken primarily in Switzerland’s Lower Engadine region and used in local literature and education.
-
C.
Hestur
Hestur is a small, sparsely populated island in the central Faroe Islands known for its steep cliffs, birdlife, and traditional Faroese landscape.
-
D.
Willahelm
Willahelm is a Germanic given name that is the historical root of names like Willem and William, traditionally meaning "resolute protector."
-
E.
Audun Tron
Audun Tron is a Norwegian politician who served as the mayor of Lillehammer during the period when the city hosted the 1994 Winter Olympics.
- 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_69a498540a2481909e807a762280d3ba |
completed | March 1, 2026, 7:49 p.m. |
| NER | Named-entity recognition | batch_69a4c19932888190a3d45871e84f112e |
completed | March 1, 2026, 10:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69acbf2b8d988190b0d84e886629ed05 |
completed | March 8, 2026, 12:13 a.m. |
| NEDg | Description generation | batch_69acbfae49d88190988ba80e24e8cc62 |
completed | March 8, 2026, 12:15 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69acc08672908190b8f411d1378a890a |
completed | March 8, 2026, 12:19 a.m. |
Created at: March 1, 2026, 7:55 p.m.