Triple
T5741837
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Florian Ballhaus |
E126632
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Florian Ballhaus |
E126632
|
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 Ballhaus | Statement: [Florian Ballhaus, name, Florian Ballhaus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Florian Ballhaus Context triple: [Florian Ballhaus, name, Florian Ballhaus]
-
A.
Florian Ballhaus
chosen
Florian Ballhaus is a German cinematographer known for his work on major Hollywood films and television series.
-
B.
Florian Ceynowa
Florian Ceynowa was a 19th-century Kashubian activist, writer, and folklorist regarded as a pioneer of Kashubian national revival and literature.
-
C.
Christian Scholz
Christian Scholz is a German computer scientist and open-source developer known for his contributions to web technologies and social software.
-
D.
Martin Schröder
Martin Schröder is a Dutch aviation entrepreneur best known as the founder of the charter airline Martinair.
-
E.
Johannes Popitz
Johannes Popitz was a German lawyer, conservative politician, and high-ranking finance official who served as Prussian finance minister and later became involved in resistance circles against the Nazi regime.
- 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_69c0083179548190b384b0bf3c08ca4d |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0258382908190af8787feb1e5fbcd |
completed | March 22, 2026, 5:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c07e1bfe4481908740aa20d55ec8f6 |
completed | March 22, 2026, 11:41 p.m. |
Created at: March 22, 2026, 3:48 p.m.