Triple
T23069717
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ingeborg of Norway |
E575158
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Ingeborg |
—
|
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: Ingeborg | Statement: [Ingeborg of Norway, givenName, Ingeborg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ingeborg Context triple: [Ingeborg of Norway, givenName, Ingeborg]
-
A.
Ingeborg
chosen
Ingeborg is a feminine given name of Germanic origin, commonly used in German-speaking and Scandinavian countries.
-
B.
Ingeborg Rhoesa
Ingeborg Rhoesa was the wife of British actor Jon Pertwee, known for his roles in "Doctor Who" and "Worzel Gummidge."
-
C.
Ulrike
Ulrike is a German given name, typically feminine, derived from the name Ulrich and associated with German-speaking countries.
-
D.
Inger-Johanna
Inger-Johanna is a central fictional daughter of the Gilje family in Jonas Lie’s novel "The Family at Gilje," representing the struggles and aspirations of women in 19th-century Norwegian society.
-
E.
Birgitte
Birgitte is a Danish-born member of the British royal family who holds the title Duchess of Gloucester.
- 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_69e245bd6e4c8190bb8942245b68cad5 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f189a676c08190863c034663406018 |
completed | April 29, 2026, 4:31 a.m. |
Created at: April 17, 2026, 3:55 p.m.