Triple
T3721661
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fischer |
E81650
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object |
Fischerová
Fischerová is a Czech feminine surname derived from the German surname Fischer, commonly borne by women in Czech-speaking regions.
|
E381244
|
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: Fischerová | Statement: [Fischer, hasVariant, Fischerová]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fischerová Context triple: [Fischer, hasVariant, Fischerová]
-
A.
Zora Vesecká
Zora Vesecká is a Czech individual whose given name is Zora, a common female name in Slavic countries.
-
B.
Mária
Mária is the Hungarian and Slovak form of the given name Mary, commonly used in Central and Eastern Europe.
-
C.
Franziska
Franziska is a feminine given name of German origin, closely related to and cognate with the name Frances.
-
D.
Zora Jandová
Zora Jandová is a Czech actress, singer, and former radio journalist known for her work in film, television, and music.
-
E.
Zora Rozsypalová
Zora Rozsypalová was a Czech actress known for her work in theater and film during the mid-20th century.
- 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: Fischerová Triple: [Fischer, hasVariant, Fischerová]
Generated description
Fischerová is a Czech feminine surname derived from the German surname Fischer, commonly borne by women in Czech-speaking regions.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Fischerová Target entity description: Fischerová is a Czech feminine surname derived from the German surname Fischer, commonly borne by women in Czech-speaking regions.
-
A.
Zora Vesecká
Zora Vesecká is a Czech individual whose given name is Zora, a common female name in Slavic countries.
-
B.
Mária
Mária is the Hungarian and Slovak form of the given name Mary, commonly used in Central and Eastern Europe.
-
C.
Franziska
Franziska is a feminine given name of German origin, closely related to and cognate with the name Frances.
-
D.
Zora Jandová
Zora Jandová is a Czech actress, singer, and former radio journalist known for her work in film, television, and music.
-
E.
Zora Rozsypalová
Zora Rozsypalová was a Czech actress known for her work in theater and film during the mid-20th century.
- 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_69ad8b1b7ef081908d2d381bbf54985a |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adca9d29208190bbf38a6aa88f954a |
completed | March 8, 2026, 7:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4ce184c9c8190813ce589c48007c1 |
completed | March 14, 2026, 2:55 a.m. |
| NEDg | Description generation | batch_69b4ce9188288190a354d747ade5043b |
completed | March 14, 2026, 2:57 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b4cefbf6f081909aed20f8c455d5b8 |
completed | March 14, 2026, 2:59 a.m. |
Created at: March 8, 2026, 3:34 p.m.