Triple
T19328230
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bertha |
E483415
|
entity |
| Predicate | hasCognate |
P2525
|
FINISHED |
| Object | Berit |
—
|
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: Berit | Statement: [Bertha, hasCognate, Berit]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Berit Context triple: [Bertha, hasCognate, Berit]
-
A.
Berit
chosen
Berit is a Scandinavian feminine given name, particularly common in Sweden and Norway.
-
B.
Borge
Borge is a district and former municipality that is now part of the city of Fredrikstad in southeastern Norway.
-
C.
Britt
Britt is the laconic, knife-throwing gunfighter portrayed by James Coburn in the classic Western film "The Magnificent Seven."
-
D.
Britell
Britell is the surname of Nicholas Britell, an American composer known for his acclaimed film and television scores.
-
E.
Ornes
Ornes is a French village in the Meuse department that was completely destroyed during the Battle of Verdun in World War I and left as an uninhabited memorial site.
- 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_69d8e8d13e3c81909d91d1d5ec37c095 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e6163f32f48190be17cccf4e537372 |
completed | April 20, 2026, 12:04 p.m. |
Created at: April 10, 2026, 1:33 p.m.