Triple
T15191241
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ingegerd Olofsdotter |
E363014
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Ingegerd |
E363014
|
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: Ingegerd | Statement: [Ingegerd Olofsdotter, givenName, Ingegerd]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ingegerd Context triple: [Ingegerd Olofsdotter, givenName, Ingegerd]
-
A.
Ingeborg
Ingeborg is a feminine given name of Germanic origin, commonly used in German-speaking and Scandinavian countries.
-
B.
Ingegerd Magnusdotter
Ingegerd Magnusdotter was a Swedish noblewoman of the House of Bjelbo, known as a daughter of the influential medieval magnate Magnus Minnesköld.
-
C.
Ingegerd Olofsdotter
chosen
Ingegerd Olofsdotter was an 11th-century Swedish princess who became Grand Princess of Kiev and a significant political figure in medieval Northern and Eastern Europe.
-
D.
Ulrike
Ulrike is a German given name, typically feminine, derived from the name Ulrich and associated with German-speaking countries.
-
E.
Gunilla
Gunilla is a Scandinavian female given name, particularly common in Sweden and other Nordic 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_69d85a09a39c81908759f23268e2d408 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0067d55ac8190b7a7fce36e6ddf3c |
completed | April 15, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fec8995bb08190bd7f0be0a0fcf1e7 |
completed | May 9, 2026, 5:39 a.m. |
Created at: April 10, 2026, 3:10 a.m.