Triple
T22077700
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Folmar Blangsted |
E545562
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Blangsted |
—
|
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: Blangsted | Statement: [Folmar Blangsted, familyName, Blangsted]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Blangsted Context triple: [Folmar Blangsted, familyName, Blangsted]
-
A.
Blangsted
chosen
Blangsted is a surname most notably associated with Folmar Blangsted, a film editor.
-
B.
Hedensted
Hedensted is a town and municipality in the Central Denmark Region known for its residential communities and local industry.
-
C.
Stavtrup
Stavtrup is a residential neighborhood in the southwestern part of Aarhus, Denmark, known for its suburban character and proximity to nature.
-
D.
Hellebæk
Hellebæk is a coastal town in northeastern Zealand, Denmark, known for its scenic setting near Helsingør and its historic industrial and residential architecture.
-
E.
Ginnerup
Ginnerup is a small village in Denmark best known as the birthplace of former Danish Prime Minister and NATO Secretary General Anders Fogh Rasmussen.
- 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_69e11e3523488190badd54b5d580c00d |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f128b38844819084526372fa6c6e35 |
completed | April 28, 2026, 9:37 p.m. |
Created at: April 16, 2026, 8:28 p.m.