Triple
T18291293
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wade Gustafson |
E438119
|
entity |
| Predicate | hasDaughter |
P24357
|
FINISHED |
| Object | Jean Lundegaard |
—
|
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: Jean Lundegaard | Statement: [Wade Gustafson, hasDaughter, Jean Lundegaard]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jean Lundegaard Context triple: [Wade Gustafson, hasDaughter, Jean Lundegaard]
-
A.
Jean Lundegaard
chosen
Jean Lundegaard is a fictional character in the film "Fargo," known as the wife of car salesman Jerry Lundegaard who becomes a victim in his botched kidnapping scheme.
-
B.
Lee Haugen
Lee Haugen is a film editor best known for his work on the adventure drama "The Lost City of Z."
-
C.
Sonja Haraldsen
Sonja Haraldsen, now Queen Sonja of Norway, is the queen consort of King Harald V and a prominent member of the Norwegian royal family known for her cultural and charitable work.
-
D.
Rut Hansen
Rut Hansen, better known as Rut Brandt, was a Norwegian-born German writer and translator who was the first wife of former West German Chancellor Willy Brandt.
-
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 (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_69d8b914530c8190b4474d862a2b2a1b |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e500fee5248190928e68ddaa4d90d7 |
completed | April 19, 2026, 4:21 p.m. |
Created at: April 10, 2026, 10:35 a.m.