Triple
T13486843
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Szmul Asz |
E318525
|
entity |
| Predicate | nameInPolish |
P15778
|
FINISHED |
| Object | Szmul Asz |
E318525
|
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: Szmul Asz | Statement: [Szmul Asz, nameInPolish, Szmul Asz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Szmul Asz Context triple: [Szmul Asz, nameInPolish, Szmul Asz]
-
A.
Szmul Asz
chosen
Szmul Asz is the birth name of Sholem Asch, a prominent Polish-born Jewish writer known for his Yiddish novels and plays.
-
B.
Szmul Gelbfisz
Szmul Gelbfisz, better known as Samuel Goldwyn, was a pioneering film producer and one of the founding figures of the American motion picture industry.
-
C.
Adam Sztykiel
Adam Sztykiel is an American screenwriter and producer known for his work on comedy films and major studio projects, including contributions to superhero and family-oriented movies.
-
D.
Hersz Wasser
Hersz Wasser was a Jewish historian and archivist who helped document life in the Warsaw Ghetto and preserve the clandestine Ringelblum Archive during the Holocaust.
-
E.
Lewin Kłodzki
Lewin Kłodzki is a small town in southwestern Poland, located in the Kłodzko Valley near the Czech border.
- 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_69d806b6bfec819089222715b2e86c8e |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbaf3b9b488190bb4e11424ff599c8 |
completed | April 12, 2026, 2:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f74638e2088190a126791f60b541c7 |
completed | May 3, 2026, 12:57 p.m. |
Created at: April 9, 2026, 9:42 p.m.