Triple
T17769913
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Erik Axel Karlfeldt |
E443604
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Gerda Holmberg |
—
|
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: Gerda Holmberg | Statement: [Erik Axel Karlfeldt, spouse, Gerda Holmberg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gerda Holmberg Context triple: [Erik Axel Karlfeldt, spouse, Gerda Holmberg]
-
A.
Gerda Holmberg
chosen
Gerda Holmberg was the wife of Swedish poet and Nobel laureate Erik Axel Karlfeldt.
-
B.
Ingerid Vilberg
Ingerid Vilberg was the wife of renowned Norwegian sculptor Gustav Vigeland.
-
C.
Gudrun Rydstedt
Gudrun Rydstedt was the wife of Swedish music executive and ABBA manager Stig Anderson.
-
D.
Birgitta Ljungberg
Birgitta Ljungberg is known as the wife of film director George P. Cosmatos.
-
E.
Hjördis Genberg
Hjördis Genberg was a Swedish fashion model and actress best known for her long and high-profile marriage to British actor David Niven.
- 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_69d8b9edf16c8190a59ebd245d378f4f |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e485fe70648190b4107e1eabacc694 |
completed | April 19, 2026, 7:36 a.m. |
Created at: April 10, 2026, 10:11 a.m.