Triple
T19992206
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nicolas Berggruen |
E494090
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Berggruen |
—
|
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: Berggruen | Statement: [Nicolas Berggruen, familyName, Berggruen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Berggruen Context triple: [Nicolas Berggruen, familyName, Berggruen]
-
A.
Berggruen
chosen
Berggruen is a surname most prominently associated with the billionaire investor and philanthropist Nicholas Berggruen and his family.
-
B.
Bergensten
Bergensten is the surname of Jens Bergensten, the Swedish video game programmer and lead developer known for his work on Minecraft.
-
C.
Pfefferberg
Pfefferberg is a surname most notably associated with Poldek Pfefferberg, a Holocaust survivor who played a key role in bringing Oskar Schindler’s story to public attention.
-
D.
Enzberg
Enzberg is a district of the town of Mühlacker in the state of Baden-Württemberg, Germany.
-
E.
Paltzig
Paltzig is a village in western Poland historically known as the site of an important battle during the Seven Years' War.
- 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_69da626a67648190af9653832a3aeced |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e65fe10ffc81908c94168b0a8ea9c9 |
completed | April 20, 2026, 5:18 p.m. |
Created at: April 11, 2026, 3:31 p.m.