Triple
T15213740
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Emil Jakob Schindler |
E363583
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Anna Sofie Bergen |
E361163
|
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: Anna Sofie Bergen | Statement: [Emil Jakob Schindler, spouse, Anna Sofie Bergen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anna Sofie Bergen Context triple: [Emil Jakob Schindler, spouse, Anna Sofie Bergen]
-
A.
Anna Sofie Bergen
chosen
Anna Sofie Bergen was the mother of composer and cultural figure Alma Mahler, belonging to the milieu of late 19th-century Viennese artistic society.
-
B.
Regine Olsen
Regine Olsen was a 19th-century Danish woman best known as the fiancée and muse of philosopher Søren Kierkegaard, whose broken engagement to her profoundly shaped his life and writings.
-
C.
Lene Andersen
Lene Andersen is a Danish author and futurist known for her work on democracy, ethics, and societal development.
-
D.
Sissel Kyrkjebø
Sissel Kyrkjebø is a Norwegian soprano renowned for her crystal-clear voice and wide-ranging repertoire spanning classical, folk, and pop music.
-
E.
Ane Brun
Ane Brun is a Norwegian singer-songwriter known for her introspective folk-pop music and distinctive, emotive vocal style.
- 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_69d85a0b78bc8190b6e5ad51a2c4cfc5 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0076c9e2481909d7a464b2172f4bf |
completed | April 15, 2026, 9:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fed341cfb8819086b386c6cb905eda |
completed | May 9, 2026, 6:25 a.m. |
Created at: April 10, 2026, 3:11 a.m.