Triple
T22296369
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Piotr Wandycz |
E551131
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Wandycz
Wandycz is a Polish surname most notably associated with historian Piotr Wandycz, a prominent scholar of East-Central European history.
|
E1529310
|
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: Wandycz | Statement: [Piotr Wandycz, familyName, Wandycz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wandycz Context triple: [Piotr Wandycz, familyName, Wandycz]
-
A.
Lozowick
Lozowick is the surname of Louis R. Lozowick, a notable Russian-American painter and printmaker associated with Precisionism.
-
B.
Koserow
Koserow is a seaside resort village on the Baltic Sea coast of the island of Usedom in northeastern Germany, known for its beaches and coastal landscapes.
-
C.
Ostrower
Ostrower is the surname of Fayga Ostrower, a notable Polish-born Brazilian artist and printmaker.
-
D.
Waryński
Waryński is a Polish surname most notably associated with Ludwik Waryński, a 19th-century socialist activist and political theorist.
-
E.
Wizna
Wizna is a village in northeastern Poland known for its strategic location and the fierce World War II Battle of Wizna, often called the "Polish Thermopylae."
- 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: Wandycz Triple: [Piotr Wandycz, familyName, Wandycz]
Generated description
Wandycz is a Polish surname most notably associated with historian Piotr Wandycz, a prominent scholar of East-Central European history.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Wandycz Target entity description: Wandycz is a Polish surname most notably associated with historian Piotr Wandycz, a prominent scholar of East-Central European history.
-
A.
Lozowick
Lozowick is the surname of Louis R. Lozowick, a notable Russian-American painter and printmaker associated with Precisionism.
-
B.
Koserow
Koserow is a seaside resort village on the Baltic Sea coast of the island of Usedom in northeastern Germany, known for its beaches and coastal landscapes.
-
C.
Ostrower
Ostrower is the surname of Fayga Ostrower, a notable Polish-born Brazilian artist and printmaker.
-
D.
Waryński
Waryński is a Polish surname most notably associated with Ludwik Waryński, a 19th-century socialist activist and political theorist.
-
E.
Wizna
Wizna is a village in northeastern Poland known for its strategic location and the fierce World War II Battle of Wizna, often called the "Polish Thermopylae."
- 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_69e11e45fb848190a1b2ae21296e3a5f |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15720fba0819080f6c96f6df4f1e0 |
completed | April 29, 2026, 12:56 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0acc9609788190a1e7306a47a3fb56 |
completed | May 18, 2026, 8:23 a.m. |
| NEDg | Description generation | batch_6a0acd67a4c88190bf64d4ecad0491b9 |
completed | May 18, 2026, 8:27 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0acdcc02ac8190a35b572701410c80 |
completed | May 18, 2026, 8:29 a.m. |
Created at: April 16, 2026, 8:41 p.m.