Triple
T15886048
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Knut Vollebæk |
E385194
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Knut Vollebæk |
E385194
|
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: Knut Vollebæk | Statement: [Knut Vollebæk, name, Knut Vollebæk]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Knut Vollebæk Context triple: [Knut Vollebæk, name, Knut Vollebæk]
-
A.
Knut Vollebæk
chosen
Knut Vollebæk is a Norwegian diplomat and former foreign minister known for his work in international conflict prevention and minority rights.
-
B.
Flemming Ørnskov
Flemming Ørnskov is a Danish physician and business executive best known for serving as CEO of the rare-disease biopharmaceutical company Shire plc.
-
C.
Ingvard Eversen Nielsen
Ingvard Eversen Nielsen was the father of Canadian-American actor and comedian Leslie Nielsen.
-
D.
Morten Ristorp
Morten Ristorp is a Danish songwriter and producer known for his work on international pop and R&B hits.
-
E.
Ole Hassager
Ole Hassager is a Danish chemical engineer and rheologist known for his contributions to the study of complex fluid mechanics and coauthoring influential texts in the field.
- 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_69d86da5b800819083a31be937d738b0 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1561a68d8819099e60e2f1f0db07a |
completed | April 16, 2026, 9:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffc3b8fe488190b9155100c647a948 |
completed | May 9, 2026, 11:31 p.m. |
Created at: April 10, 2026, 4:51 a.m.