Triple
T19720659
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Waldemar Kita |
E473598
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Waldemar Kita |
—
|
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: Waldemar Kita | Statement: [Waldemar Kita, name, Waldemar Kita]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Waldemar Kita Context triple: [Waldemar Kita, name, Waldemar Kita]
-
A.
Waldemar Kita
chosen
Waldemar Kita is a Polish-born French businessman best known as the owner and president of the French football club FC Nantes.
-
B.
Teodor Rygier
Teodor Rygier was a Polish sculptor best known for creating the iconic Adam Mickiewicz Monument in Kraków.
-
C.
Tadeusz Unrug
Tadeusz Unrug was a Polish nobleman and landowner from the Unrug family, known primarily as the father of Polish naval officer and admiral Józef Unrug.
-
D.
Eduard Polón
Eduard Polón was a Finnish businessman and industrialist best known for helping to establish the company that would become Nokia.
-
E.
Ludwik Boller
Ludwik Boller was a Polish painter known for co-creating large-scale historical works, including the famous panoramic painting depicting the Battle of Racławice.
- 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_69d8e516dd048190a0b6c93ea3e71f58 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e649f483c481908c6b3114bf9c5934 |
completed | April 20, 2026, 3:44 p.m. |
Created at: April 10, 2026, 1:46 p.m.