Triple
T1234760
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sigrid Undset |
E26522
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Sigrid |
E131189
|
NE FINISHED |
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 | Statement: [Sigrid Undset, givenName, Sigrid]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sigrid Context triple: [Sigrid Undset, givenName, Sigrid]
-
A.
Skadi
Skadi is a giantess and goddess in Norse mythology associated with winter, skiing, mountains, and hunting.
-
B.
Margareta
Margareta is a feminine given name used in various European languages, closely related to and derived from the name Margaret.
-
C.
Ingibiorg Finnsdottir
Ingibiorg Finnsdottir was a Norse noblewoman, likely of Orkney earldom lineage, who became an early consort of Malcolm III of Scotland and linked Scandinavian and Scottish royal circles in the 11th century.
-
D.
Astrid
Astrid is a Belgian princess and member of the country’s royal family.
-
E.
Ingeborg
chosen
Ingeborg is a feminine given name of Germanic origin, commonly used in German-speaking and Scandinavian countries.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69a4948571c88190a9191e451e6035fd |
completed | March 1, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69a4be5e421081908f2432528019db25 |
completed | March 1, 2026, 10:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac8a16badc8190b5b603db0ca738cb |
completed | March 7, 2026, 8:27 p.m. |
Created at: March 1, 2026, 7:47 p.m.