Triple
T5899704
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ingeborg |
E131189
|
entity |
| Predicate | hasCognate |
P2525
|
FINISHED |
| Object | Ingeborg (German form) |
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: Ingeborg (German form) | Statement: [Ingeborg, hasCognate, Ingeborg (German form)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ingeborg (German form) Context triple: [Ingeborg, hasCognate, Ingeborg (German form)]
-
A.
Ingeborg
chosen
Ingeborg is a feminine given name of Germanic origin, commonly used in German-speaking and Scandinavian countries.
-
B.
Inge
Inge is a given name of Germanic origin used in various European countries for both males and females.
-
C.
Inge König
Inge König is a person notable enough to be recognized as a bearer of the surname König, though specific widely known biographical details about her are not readily established.
-
D.
Fredricka Inger
Fredricka Inger is best known as the wife of British comedian and actor Norman Wisdom.
-
E.
Princess Ingeborg of Denmark
Princess Ingeborg of Denmark was a Danish royal who became Princess of Sweden through marriage to Prince Carl, Duke of Västergötland, and was known for her popular and modern approach to royal life in the early 20th century.
- 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_69c0c0076cd88190b10e51c52dcc6a2e |
completed | March 23, 2026, 4:22 a.m. |
Created at: March 22, 2026, 3:58 p.m.