Triple
T13218577
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thorbjørn Jagland |
E314686
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Hanne Grotjord |
E314686
|
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: Hanne Grotjord | Statement: [Thorbjørn Jagland, spouse, Hanne Grotjord]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hanne Grotjord Context triple: [Thorbjørn Jagland, spouse, Hanne Grotjord]
-
A.
Hanne Grotjord
chosen
Hanne Grotjord is the wife of Norwegian politician and former Prime Minister Thorbjørn Jagland.
-
B.
Hanne Jacobsen
Hanne Jacobsen is a Danish choreographer and former dancer best known as the longtime wife of actor Mads Mikkelsen.
-
C.
Birgitte Hjort Sørensen
Birgitte Hjort Sørensen is a Danish actress known for her roles in the political drama series "Borgen" and various international film and television productions.
-
D.
Marian Saastad Ottesen
Marian Saastad Ottesen is a Norwegian actress known for her prominent role in the comedy-drama television series "Lilyhammer" and for her work in Norwegian film and theater.
-
E.
Louise Lunde
Louise Lunde is known as the spouse of American character actor Lance Henriksen.
- 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_69d806affc688190a25b6ccc588e9c72 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98cf392e08190949ee4d194566395 |
completed | April 10, 2026, 11:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f70a31c8748190a24256a7dd1e346b |
completed | May 3, 2026, 8:41 a.m. |
Created at: April 9, 2026, 9:18 p.m.