Triple
T18381326
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Petr Zenkl |
E446454
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Zenkl
Zenkl is a Czech surname most notably associated with Petr Zenkl, a prominent 20th-century Czech politician and public figure.
|
E1321529
|
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: Zenkl | Statement: [Petr Zenkl, familyName, Zenkl]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zenkl Context triple: [Petr Zenkl, familyName, Zenkl]
-
A.
ZKL
ZKL is the vehicle registration code assigned to cars registered in Kołobrzeg, a city in northwestern Poland.
-
B.
Edzná
Edzná is an ancient Maya archaeological site in the Mexican state of Campeche, known for its impressive pyramids, plazas, and sophisticated hydraulic systems.
-
C.
ZEL
ZEL is the National Rail station code assigned to Elephant & Castle station in London.
-
D.
Zurer
Zurer is the surname of Ayelet Zurer, an Israeli actress known for her roles in international films and television series.
-
E.
ZK
ZK is the vehicle registration code used for vehicles registered in the city of Zakynthos in Greece.
- 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: Zenkl Triple: [Petr Zenkl, familyName, Zenkl]
Generated description
Zenkl is a Czech surname most notably associated with Petr Zenkl, a prominent 20th-century Czech politician and public figure.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Zenkl Target entity description: Zenkl is a Czech surname most notably associated with Petr Zenkl, a prominent 20th-century Czech politician and public figure.
-
A.
ZKL
ZKL is the vehicle registration code assigned to cars registered in Kołobrzeg, a city in northwestern Poland.
-
B.
Edzná
Edzná is an ancient Maya archaeological site in the Mexican state of Campeche, known for its impressive pyramids, plazas, and sophisticated hydraulic systems.
-
C.
ZEL
ZEL is the National Rail station code assigned to Elephant & Castle station in London.
-
D.
Zurer
Zurer is the surname of Ayelet Zurer, an Israeli actress known for her roles in international films and television series.
-
E.
ZK
ZK is the vehicle registration code assigned to motor vehicles registered in the Hungarian city of Zalaegerszeg.
- 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_69d8b9f370b88190b1e5081c2c238e7f |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e5179b60f88190adf39e85375bd11b |
completed | April 19, 2026, 5:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a03d780a3bc8190a2ae02e8190dfb68 |
completed | May 13, 2026, 1:44 a.m. |
| NEDg | Description generation | batch_6a03d8857ba081909a1bee74530523d0 |
completed | May 13, 2026, 1:48 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a03da59c1b081908d9488233c611586 |
completed | May 13, 2026, 1:56 a.m. |
Created at: April 10, 2026, 10:45 a.m.