Triple
T5899700
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ingeborg |
E131189
|
entity |
| Predicate | hasCognate |
P2525
|
FINISHED |
| Object | Ingebjørg |
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: Ingebjørg | Statement: [Ingeborg, hasCognate, Ingebjørg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ingebjørg Context triple: [Ingeborg, hasCognate, Ingebjørg]
-
A.
Ingeborg
chosen
Ingeborg is a feminine given name of Germanic origin, commonly used in German-speaking and Scandinavian countries.
-
B.
Vibeke
Vibeke is a Scandinavian feminine given name of Old Norse origin, traditionally used in Denmark and Norway.
-
C.
Inga of Varteig
Inga of Varteig was a Norwegian woman known primarily as the mother of King Haakon IV of Norway, whose contested paternity and rise to the throne were central to the Norwegian civil wars.
-
D.
Birgitte
Birgitte is a Danish-born member of the British royal family who holds the title Duchess of Gloucester.
-
E.
Kirsten Jørgensdatter
Kirsten Jørgensdatter was the long-time common-law wife and partner of Danish astronomer Tycho Brahe, with whom she had several children and shared his domestic and social life despite not being formally married under noble custom.
- 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_69c0085864a88190a569c05ff7d65f29 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0373320cc8190bfdb2b09236f55a5 |
completed | March 22, 2026, 6:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0e385ac5c8190ad8824db416ea009 |
completed | March 23, 2026, 6:53 a.m. |
Created at: March 22, 2026, 3:58 p.m.