Triple
T22779108
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gustaf Otto Stenbock |
E563784
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Stenbock |
—
|
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: Stenbock | Statement: [Gustaf Otto Stenbock, familyName, Stenbock]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stenbock Context triple: [Gustaf Otto Stenbock, familyName, Stenbock]
-
A.
Stenbock
chosen
Stenbock is a Swedish noble family historically prominent in military and political affairs, notably producing figures such as general Magnus Stenbock.
-
B.
Bollestad
Bollestad is a Norwegian surname most notably associated with politician Olaug Bollestad.
-
C.
Steffenberg
Steffenberg is a small municipality in the Marburg-Biedenkopf district of Hesse, Germany, known for its rural character and scenic surroundings.
-
D.
Söderblom
Söderblom is a Swedish surname most notably associated with Nathan Söderblom, the Nobel Peace Prize–winning Lutheran archbishop and ecumenical leader.
-
E.
Spangenberg
Spangenberg is a small town in Germany, historically situated within the region of Westphalia.
- 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_69e24554497c819080b996e071de27c2 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17b63d348819085668e3d9ac78ffa |
completed | April 29, 2026, 3:30 a.m. |
Created at: April 17, 2026, 3:28 p.m.