Triple
T7788485
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Olle Wästberg |
E187309
|
entity |
| Predicate | employer |
P7
|
FINISHED |
| Object | Expressen |
E686720
|
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: Expressen | Statement: [Olle Wästberg, employer, Expressen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Expressen Context triple: [Olle Wästberg, employer, Expressen]
-
A.
Expressen
chosen
Expressen is a major Swedish daily tabloid newspaper known for its national coverage, opinion pieces, and investigative journalism.
-
B.
L’Express
L’Express is a major French weekly news magazine known for its political and intellectual commentary.
-
C.
Daily Express
The Daily Express is a long-running British national tabloid newspaper known for its conservative stance, sensationalist headlines, and significant influence on UK popular and political discourse.
-
D.
Sunday Express
Sunday Express is a British national Sunday newspaper known for its conservative-leaning coverage of news, politics, and entertainment.
-
E.
Nova Express
Nova Express is an experimental science fiction novel by William S. Burroughs that continues his cut-up style exploration of control, addiction, and societal manipulation.
- 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_69ca82af2d2c8190963861f5e0b8bf21 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cae7e8a0d08190b6d4ca560681eb35 |
completed | March 30, 2026, 9:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69caf61f77808190a5a1814fe1cb7ae1 |
completed | March 30, 2026, 10:15 p.m. |
Created at: March 30, 2026, 4:24 p.m.