Triple
T7651662
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bo Lundgren |
E173266
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Bo Lundgren |
E173266
|
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: Bo Lundgren | Statement: [Bo Lundgren, name, Bo Lundgren]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bo Lundgren Context triple: [Bo Lundgren, name, Bo Lundgren]
-
A.
Bo Lundgren
chosen
Bo Lundgren is a Swedish politician and former leader of the Moderate Party who also served as Sweden’s Minister for Fiscal and Financial Affairs.
-
B.
Kim Lundgren
Kim Lundgren is an entrepreneur best known as one of the founders behind the German airline Air Berlin.
-
C.
George Englund
George Englund was an American film editor, director, and producer known for works like "The Ugly American" and for his long marriage to actress Cloris Leachman.
-
D.
Lars Gyllensten
Lars Gyllensten was a Swedish author, physician, and long-serving member of the Swedish Academy known for his intellectually rigorous and experimental literary works.
-
E.
Tomas Brolin
Tomas Brolin is a former Swedish forward best known for starring for Sweden’s national team in the early 1990s and enjoying a successful club career in Serie A with Parma.
- 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_69c6995473348190a4f41d110d619a18 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c701770ac881909452348c9547ab47 |
completed | March 27, 2026, 10:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c89aeb66c081909f3a3d6385637c25 |
completed | March 29, 2026, 3:22 a.m. |
Created at: March 27, 2026, 3:58 p.m.