Triple
T15266101
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Florian Ceynowa |
E364904
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Florian |
E543106
|
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 | Statement: [Florian Ceynowa, givenName, Florian]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Florian Context triple: [Florian Ceynowa, givenName, Florian]
-
A.
Florian
chosen
Florian is a masculine given name of Latin origin, commonly used in German-speaking and other European countries.
-
B.
Florentin
Florentin is a gritty, bohemian neighborhood in south Tel Aviv known for its street art, nightlife, and mix of artists, students, and light industry.
-
C.
Florentin
Florentin is a late 18th-century German novel by Dorothea Schlegel that explores themes of identity, society, and romanticism within the early German Romantic movement.
-
D.
Fabien
Fabien is a French politician best known as the national secretary of the French Communist Party and a member of the National Assembly.
-
E.
Fabian
Fabian is the given name of Fabian Gottlieb von Bellingshausen, the Russian naval officer and explorer credited as one of the first to sight the Antarctic continent.
- 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_69fee600340c8190a1888d35c2c1bc86 |
completed | May 9, 2026, 7:45 a.m. |
Created at: April 10, 2026, 3:14 a.m.