Triple
T10871006
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kushner |
E256650
|
entity |
| Predicate | hasWritingVariant |
P457
|
FINISHED |
| Object |
Kuschnerov
Kuschnerov is a surname variant of Kushner, a family name of Eastern European Jewish origin.
|
E889949
|
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: Kuschnerov | Statement: [Kushner, hasWritingVariant, Kuschnerov]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kuschnerov Context triple: [Kushner, hasWritingVariant, Kuschnerov]
-
A.
Sokolov
Sokolov is a town in the Karlovy Vary Region of the Czech Republic, known for its historical center and location in the Ohře River valley.
-
B.
Ruzinov
Ružinov is a borough of Bratislava, Slovakia, known as a major residential and commercial district of the capital.
-
C.
Bérégovoy
Bérégovoy is the surname of Pierre Bérégovoy, a prominent French Socialist politician who served as Prime Minister of France in the early 1990s.
-
D.
Schwarzenberg
Schwarzenberg is the noble family name of a prominent Central European princely house historically influential in Austrian and Bohemian politics and military affairs.
-
E.
Klimowitschi
Klimowitschi is a town in Belarus known in part for its international municipal partnership with Werder (Havel) in Germany.
- 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: Kuschnerov Triple: [Kushner, hasWritingVariant, Kuschnerov]
Generated description
Kuschnerov is a surname variant of Kushner, a family name of Eastern European Jewish origin.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kuschnerov Target entity description: Kuschnerov is a surname variant of Kushner, a family name of Eastern European Jewish origin.
-
A.
Sokolov
Sokolov is a town in the Karlovy Vary Region of the Czech Republic, known for its historical center and location in the Ohře River valley.
-
B.
Ruzinov
Ružinov is a borough of Bratislava, Slovakia, known as a major residential and commercial district of the capital.
-
C.
Bérégovoy
Bérégovoy is the surname of Pierre Bérégovoy, a prominent French Socialist politician who served as Prime Minister of France in the early 1990s.
-
D.
Schwarzenberg
Schwarzenberg is the noble family name of a prominent Central European princely house historically influential in Austrian and Bohemian politics and military affairs.
-
E.
Klimowitschi
Klimowitschi is a town in Belarus known in part for its international municipal partnership with Werder (Havel) in Germany.
- 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_69d6aa83d1448190a66d93c32394d21f |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d75186e75c8190bf046ea666faff54 |
completed | April 9, 2026, 7:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69dff7dbea28819083511b56bcd7d4ce |
completed | April 15, 2026, 8:41 p.m. |
| NEDg | Description generation | batch_69e0026fda3c8190b60174b252d57e12 |
completed | April 15, 2026, 9:26 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e00581fde08190b28b8dde4a21d59e |
completed | April 15, 2026, 9:39 p.m. |
Created at: April 8, 2026, 9:20 p.m.