Triple
T22026132
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Norwegian literary canon |
E543966
|
entity |
| Predicate | includesAuthor |
P4244
|
FINISHED |
| Object |
Inger Hagerup
Inger Hagerup was a prominent 20th-century Norwegian poet and playwright, celebrated for her lyrical style, political engagement, and enduring contributions to both adult and children’s literature.
|
E1519202
|
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: Inger Hagerup | Statement: [Norwegian literary canon, includesAuthor, Inger Hagerup]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Inger Hagerup Context triple: [Norwegian literary canon, includesAuthor, Inger Hagerup]
-
A.
Inger Skramstad
Inger Skramstad is known as the spouse of Norwegian-American physicist and Nobel laureate Ivar Giaever.
-
B.
Inger Oxe
Inger Oxe was a Danish noblewoman of the 16th century, known for her influential family connections within the Danish aristocracy.
-
C.
Wenche Jenssen
Wenche Jenssen is a person notable enough to be recognized as a distinguished bearer of the surname Jenssen.
-
D.
Siv Høgtun
Siv Høgtun is a Norwegian local politician who serves as the mayor of Askøy, an island municipality near Bergen in Western Norway.
-
E.
Hanne Grotjord
Hanne Grotjord is the wife of Norwegian politician and former Prime Minister Thorbjørn Jagland.
- 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: Inger Hagerup Triple: [Norwegian literary canon, includesAuthor, Inger Hagerup]
Generated description
Inger Hagerup was a prominent 20th-century Norwegian poet and playwright, celebrated for her lyrical style, political engagement, and enduring contributions to both adult and children’s literature.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Inger Hagerup Target entity description: Inger Hagerup was a prominent 20th-century Norwegian poet and playwright, celebrated for her lyrical style, political engagement, and enduring contributions to both adult and children’s literature.
-
A.
Inger Skramstad
Inger Skramstad is known as the spouse of Norwegian-American physicist and Nobel laureate Ivar Giaever.
-
B.
Inger Oxe
Inger Oxe was a Danish noblewoman of the 16th century, known for her influential family connections within the Danish aristocracy.
-
C.
Wenche Jenssen
Wenche Jenssen is a person notable enough to be recognized as a distinguished bearer of the surname Jenssen.
-
D.
Siv Høgtun
Siv Høgtun is a Norwegian local politician who serves as the mayor of Askøy, an island municipality near Bergen in Western Norway.
-
E.
Hanne Grotjord
Hanne Grotjord is the wife of Norwegian politician and former Prime Minister Thorbjørn Jagland.
- 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_69e11e2e8ea4819084210fe06d3a1b8d |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f127cba61c8190a48ec2c1ee1315b0 |
completed | April 28, 2026, 9:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a8f0b39108190838cd65a53225b4c |
completed | May 18, 2026, 4:01 a.m. |
| NEDg | Description generation | batch_6a0a900214248190a0363f8afc43140b |
completed | May 18, 2026, 4:05 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a905a4f2881909c1e7776d6e268cb |
completed | May 18, 2026, 4:06 a.m. |
Created at: April 16, 2026, 8:24 p.m.