Triple
T13798426
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hamar Olympic Amphitheatre |
E331575
|
entity |
| Predicate | architect |
P184
|
FINISHED |
| Object | Niels Torp |
E87153
|
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: Niels Torp | Statement: [Hamar Olympic Amphitheatre, architect, Niels Torp]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Niels Torp Context triple: [Hamar Olympic Amphitheatre, architect, Niels Torp]
-
A.
Niels Torp
chosen
Niels Torp is a Norwegian architect known for designing prominent public and commercial buildings in Norway and abroad.
-
B.
Morten Ristorp
Morten Ristorp is a Danish songwriter and producer known for his work on international pop and R&B hits.
-
C.
Erik Skjoldbjærg
Erik Skjoldbjærg is a Norwegian film director and screenwriter known for his atmospheric psychological thrillers and influential contributions to Scandinavian cinema.
-
D.
Henrik Uldalen
Henrik Uldalen is a contemporary Norwegian figurative painter known for his ethereal, dreamlike portraits that blend realism with surreal and abstract elements.
-
E.
Jørgen Vik
Jørgen Vik is a Norwegian politician who serves as the mayor of the municipality of Lillestrøm.
- 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_69d81c58feb08190a77bca8bf7d6d20f |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de025ce9148190b23370f6a522ff7a |
completed | April 14, 2026, 9:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7b8da594c81908cb878a8cc1b3a72 |
completed | May 3, 2026, 9:06 p.m. |
Created at: April 9, 2026, 10:11 p.m.