Triple
T5854050
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arnt Eliassen |
E130106
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Arnt Eliassen |
E130106
|
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: Arnt Eliassen | Statement: [Arnt Eliassen, name, Arnt Eliassen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Arnt Eliassen Context triple: [Arnt Eliassen, name, Arnt Eliassen]
-
A.
Arnt Eliassen
chosen
Arnt Eliassen was a prominent Norwegian meteorologist known for his influential work in dynamic meteorology and numerical weather prediction.
-
B.
Ralph Høibakk
Ralph Høibakk is a Norwegian mountaineer and engineer known for his pioneering high-altitude climbs, including the first ascent of the Himalayan peak Tirich Mir.
-
C.
Arnt Jensen
Arnt Jensen is a Danish video game designer best known as the creator and creative director of the critically acclaimed indie game Limbo.
-
D.
John Myhre
John Myhre is an Academy Award–winning American production designer and art director known for his work on major films such as "Chicago," "Memoirs of a Geisha," and "Dreamgirls."
-
E.
Christian M. Ravndal
Christian M. Ravndal was an American diplomat who served as the United States Ambassador to Hungary.
- 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_69c0084de39081909eb34e6bed74215a |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c035529cf88190acc547ae839950e7 |
completed | March 22, 2026, 6:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0a1b8f8508190942ce1725884d254 |
completed | March 23, 2026, 2:13 a.m. |
Created at: March 22, 2026, 3:55 p.m.