Triple
T17805396
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kristin Lavransdatter |
E444543
|
entity |
| Predicate | author |
P4
|
FINISHED |
| Object | Sigrid Undset |
—
|
NE NERFINISHED |
How this triple was built (2 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: Sigrid Undset | Statement: [Kristin Lavransdatter, author, Sigrid Undset]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sigrid Undset Context triple: [Kristin Lavransdatter, author, Sigrid Undset]
-
A.
Sigrid Undset
chosen
Sigrid Undset was a Norwegian novelist and Nobel Prize in Literature laureate best known for her medieval trilogy "Kristin Lavransdatter."
-
B.
Ellinor Hamsun
Ellinor Hamsun was a daughter of the Norwegian Nobel Prize–winning author Knut Hamsun.
-
C.
Linn Ullmann
Linn Ullmann is a Norwegian author and journalist known for her acclaimed novels and as the daughter of actress Liv Ullmann and director Ingmar Bergman.
-
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.
Birgitta Dahl
Birgitta Dahl is a Swedish Social Democratic politician who served as Speaker of the Riksdag and was a prominent figure in Sweden’s late 20th-century political landscape.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b9efe370819095cd219b143ae727 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e4880385b48190b8dea0f05dfa1300 |
completed | April 19, 2026, 7:45 a.m. |
Created at: April 10, 2026, 10:14 a.m.