Triple
T15266100
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Florian Ceynowa |
E364904
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Florian Ceynowa |
E364904
|
NE FINISHED |
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: Florian Ceynowa | Statement: [Florian Ceynowa, name, Florian Ceynowa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Florian Ceynowa Context triple: [Florian Ceynowa, name, Florian Ceynowa]
-
A.
Florian Ceynowa
chosen
Florian Ceynowa was a 19th-century Kashubian activist, writer, and folklorist regarded as a pioneer of Kashubian national revival and literature.
-
B.
Florian Klaempfl
Florian Klaempfl is a software developer best known as the original creator and lead architect of the Free Pascal compiler.
-
C.
Florian Schönharting
Florian Schönharting is a Danish biotech entrepreneur and investor best known for co-founding the antibody therapeutics company Genmab.
-
D.
Florian Hoffmeister
Florian Hoffmeister is a German cinematographer known for his atmospheric, meticulously composed visual style in both film and television, including acclaimed work on projects like "Tár."
-
E.
Christoph Dolle
Christoph Dolle is a German local politician who serves as the mayor of the town of Blomberg.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d85a0f08408190b3c3259ae35d79d2 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e00851c5b88190a296b6a105d3ee30 |
completed | April 15, 2026, 9:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff9085d388819092be2fd8a0268e23 |
completed | May 9, 2026, 7:52 p.m. |
Created at: April 10, 2026, 3:14 a.m.