Triple
T22490819
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hege Riise |
E556011
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Hege Riise |
—
|
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: Hege Riise | Statement: [Hege Riise, name, Hege Riise]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hege Riise Context triple: [Hege Riise, name, Hege Riise]
-
A.
Hege Riise
chosen
Hege Riise is a former Norwegian footballer and midfielder renowned as one of Norway’s greatest women’s players, winning the FIFA Women’s World Cup, UEFA Women’s Championship, and Olympic gold during her illustrious career.
-
B.
Ada Hegerberg
Ada Hegerberg is a Norwegian professional footballer and prolific striker widely recognized as one of the world’s best women’s players and the first-ever female Ballon d'Or winner.
-
C.
Silje Solskjær
Silje Solskjær is a Norwegian woman best known as the wife of former Manchester United footballer and manager Ole Gunnar Solskjær.
-
D.
Karoline Pettersen
Karoline Pettersen is known as the former spouse of Norwegian actor and director Aksel Hennie.
-
E.
Kendra Haaland
Kendra Haaland is a film producer best known for her work in animated features, including the family adventure film "Wonder Park."
- 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_69e11e53897c819088863779f8c50bb0 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15c40930c81908310ac6afd98c62e |
completed | April 29, 2026, 1:17 a.m. |
Created at: April 16, 2026, 8:49 p.m.