Triple
T7259317
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Knut Pedersen |
E159605
|
entity |
| Predicate | hasChild |
P369
|
FINISHED |
| Object |
Cecilie Hamsun
Cecilie Hamsun was a daughter of the Norwegian Nobel Prize–winning author Knut Hamsun.
|
E656523
|
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: Cecilie Hamsun | Statement: [Knut Pedersen, hasChild, Cecilie Hamsun]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cecilie Hamsun Context triple: [Knut Pedersen, hasChild, Cecilie Hamsun]
-
A.
Ellinor Hamsun
Ellinor Hamsun was a daughter of the Norwegian Nobel Prize–winning author Knut Hamsun.
-
B.
Sigrid Undset
Sigrid Undset was a Norwegian novelist and Nobel Prize in Literature laureate best known for her medieval trilogy "Kristin Lavransdatter."
-
C.
Karoline Bjørnson
Karoline Bjørnson was the wife of Norwegian writer and Nobel laureate Bjørnstjerne Bjørnson and a notable figure in Norwegian cultural and social life in her own right.
-
D.
Hanne Ørstavik
Hanne Ørstavik is a Norwegian author best known for her psychologically intense and minimalist novels exploring themes of intimacy, isolation, and emotional vulnerability.
-
E.
Herbjørg Wassmo
Herbjørg Wassmo is a Norwegian author renowned for her psychologically rich novels and portrayals of women's lives, which have earned her major literary honors in the Nordic countries.
- 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: Cecilie Hamsun Triple: [Knut Pedersen, hasChild, Cecilie Hamsun]
Generated description
Cecilie Hamsun was a daughter of the Norwegian Nobel Prize–winning author Knut Hamsun.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Cecilie Hamsun Target entity description: Cecilie Hamsun was a daughter of the Norwegian Nobel Prize–winning author Knut Hamsun.
-
A.
Ellinor Hamsun
chosen
Ellinor Hamsun was a daughter of the Norwegian Nobel Prize–winning author Knut Hamsun.
-
B.
Sigrid Undset
Sigrid Undset was a Norwegian novelist and Nobel Prize in Literature laureate best known for her medieval trilogy "Kristin Lavransdatter."
-
C.
Karoline Bjørnson
Karoline Bjørnson was the wife of Norwegian writer and Nobel laureate Bjørnstjerne Bjørnson and a notable figure in Norwegian cultural and social life in her own right.
-
D.
Hanne Ørstavik
Hanne Ørstavik is a Norwegian author best known for her psychologically intense and minimalist novels exploring themes of intimacy, isolation, and emotional vulnerability.
-
E.
Herbjørg Wassmo
Herbjørg Wassmo is a Norwegian author renowned for her psychologically rich novels and portrayals of women's lives, which have earned her major literary honors in the Nordic countries.
- F. None of above.
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_69c68838f9948190875fd60b2351230c |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6eac340a0819084015a5fbf7a5539 |
completed | March 27, 2026, 8:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7fa6ad54081908a0be2d1f7d6505e |
completed | March 28, 2026, 3:57 p.m. |
| NEDg | Description generation | batch_69c7fcc2cc4c8190871287fdf4338ebd |
completed | March 28, 2026, 4:07 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7fd12d1f08190b0ae80fdc7e17cc5 |
completed | March 28, 2026, 4:08 p.m. |
Created at: March 27, 2026, 2:57 p.m.