Triple
T7770148
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Per Ahlmark |
E179047
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Per Ahlmark |
E179047
|
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: Per Ahlmark | Statement: [Per Ahlmark, name, Per Ahlmark]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Per Ahlmark Context triple: [Per Ahlmark, name, Per Ahlmark]
-
A.
Per Ahlmark
chosen
Per Ahlmark was a Swedish politician, writer, and former leader of the Liberal People's Party who also served as Sweden’s Deputy Prime Minister in the 1970s.
-
B.
Jörgen Persson
Jörgen Persson is a Swedish cinematographer known for his work on numerous acclaimed films, including the 1998 adaptation of Les Misérables.
-
C.
Charles Boberg
Charles Boberg is a linguist and scholar of North American English dialects, particularly known for his work on regional variation and phonology.
-
D.
Erik Sparre
Erik Sparre was a prominent Swedish statesman and nobleman who rose to become one of the kingdom’s leading political figures in the late 16th and early 17th centuries.
-
E.
Jan Uddenfeldt
Jan Uddenfeldt is a Swedish engineer and telecommunications executive best known as a key technical leader at Ericsson and a pioneer in the development of mobile communication systems.
- 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_69c69f30602c819082ab52cd4af5c592 |
completed | March 27, 2026, 3:16 p.m. |
| NER | Named-entity recognition | batch_69c70438ca2481909114b0c434717109 |
completed | March 27, 2026, 10:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8deb127048190a89c08b7778df8a4 |
completed | March 29, 2026, 8:11 a.m. |
Created at: March 27, 2026, 4:11 p.m.