Triple
T21983431
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stefan Jaracz |
E542896
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Stefan Jaracz |
—
|
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: Stefan Jaracz | Statement: [Stefan Jaracz, name, Stefan Jaracz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stefan Jaracz Context triple: [Stefan Jaracz, name, Stefan Jaracz]
-
A.
Stefan Jaracz
chosen
Stefan Jaracz was a prominent Polish actor and theater director, regarded as one of the most important figures in early 20th-century Polish theater.
-
B.
Stefan Szczucki
Stefan Szczucki was the husband of Polish writer and World War II resistance activist Zofia Kossak-Szczucka.
-
C.
Marek Piekarski
Marek Piekarski is a Polish former footballer known for playing as a midfielder in the 1970s and 1980s.
-
D.
Stefan Kaluzny
Stefan Kaluzny is an American private equity investor best known as the co-founder and managing partner of the retail-focused firm Sycamore Partners.
-
E.
Maciej Stuhr
Maciej Stuhr is a Polish actor and comedian known for his film, television, and theater roles as well as his work as a satirist and public figure.
- 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_69e0c48136b081908831fa907cc02e18 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f1270629588190aea32fbe630e4cba |
completed | April 28, 2026, 9:30 p.m. |
Created at: April 16, 2026, 8:04 p.m.