Triple
T14214127
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peter Suschitzky |
E352304
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Suschitzky
Suschitzky is the surname of a family that includes notable cinematographers and photographers, such as Peter Suschitzky.
|
E1086083
|
NE FINISHED |
How this triple was built (4 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: Suschitzky | Statement: [Peter Suschitzky, familyName, Suschitzky]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Suschitzky Context triple: [Peter Suschitzky, familyName, Suschitzky]
-
A.
Yachimovich
Yachimovich is a Hebrew-language surname most prominently associated with Israeli politician and former Labor Party leader Shelly Yachimovich.
-
B.
Joffe
Joffe is a surname most notably associated with Adolf Joffe, a prominent early 20th-century Russian revolutionary and diplomat.
-
C.
Ossip
Ossip is a masculine given name of Slavic origin, notably borne by pianist and conductor Ossip Gabrilowitsch.
-
D.
Ussishkin
Ussishkin is a Jewish family name most prominently associated with Zionist leader Menachem Ussishkin.
-
E.
Polonsky
Polonsky is a surname most notably associated with American screenwriter and director Abraham Polonsky, a key figure in mid-20th-century cinema and the Hollywood blacklist era.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Suschitzky Triple: [Peter Suschitzky, familyName, Suschitzky]
Generated description
Suschitzky is the surname of a family that includes notable cinematographers and photographers, such as Peter Suschitzky.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Suschitzky Target entity description: Suschitzky is the surname of a family that includes notable cinematographers and photographers, such as Peter Suschitzky.
-
A.
Yachimovich
Yachimovich is a Hebrew-language surname most prominently associated with Israeli politician and former Labor Party leader Shelly Yachimovich.
-
B.
Joffe
Joffe is a surname most notably associated with Adolf Joffe, a prominent early 20th-century Russian revolutionary and diplomat.
-
C.
Ossip
Ossip is a masculine given name of Slavic origin, notably borne by pianist and conductor Ossip Gabrilowitsch.
-
D.
Ussishkin
Ussishkin is a Jewish family name most prominently associated with Zionist leader Menachem Ussishkin.
-
E.
Polonsky
Polonsky is a surname most notably associated with American screenwriter and director Abraham Polonsky, a key figure in mid-20th-century cinema and the Hollywood blacklist era.
- F. None of above. chosen
Provenance (5 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_69d8278a06e481908b5d6af0a8afe737 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de620f07bc81909212dcd1c91b5f95 |
completed | April 14, 2026, 3:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd1959f3d481909c15730bbd6f4748 |
completed | May 7, 2026, 10:59 p.m. |
| NEDg | Description generation | batch_69fd1a88fd948190b5d78a4ca4acdb94 |
completed | May 7, 2026, 11:04 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd1b2ed7748190b3f787f1b64c8831 |
completed | May 7, 2026, 11:07 p.m. |
Created at: April 10, 2026, 1:06 a.m.