Triple
T19453298
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Atlas Shrugged: Part I |
E486669
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object | Paul Johansson |
—
|
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: Paul Johansson | Statement: [Atlas Shrugged: Part I, castMember, Paul Johansson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Paul Johansson Context triple: [Atlas Shrugged: Part I, castMember, Paul Johansson]
-
A.
Paul Johansson
chosen
Paul Johansson is a Canadian-American actor and director best known for his role as Dan Scott on the television series "One Tree Hill."
-
B.
Gustav Lindh
Gustav Lindh is a Swedish actor known for his roles in both Scandinavian film and television as well as international productions.
-
C.
Roger Strøm
Roger Strøm is a Norwegian speed skater who competed internationally as a member of Norway’s national team.
-
D.
Kjell-Olof Feldt
Kjell-Olof Feldt is a Swedish Social Democratic politician best known for serving as Sweden’s Minister for Finance during the 1980s economic reforms.
-
E.
Kjell Kosberg
Kjell Kosberg is a Norwegian architect best known for designing the modern football stadium Aker Stadion in Molde, Norway.
- 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_69d8e8d86d608190bd199a98d0297f27 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6339407a08190a3e0213bfbb4df3d |
completed | April 20, 2026, 2:09 p.m. |
Created at: April 10, 2026, 1:38 p.m.