Triple
T17769074
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alexander Vondra |
E443585
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Vondra
Vondra is a Czech surname most notably borne by politician and diplomat Alexander Vondra.
|
E1289175
|
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: Vondra | Statement: [Alexander Vondra, familyName, Vondra]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vondra Context triple: [Alexander Vondra, familyName, Vondra]
-
A.
Vindrey
Vindrey is a rural locality in Russia notable as the birthplace of Soviet Marshal Sergei Akhromeyev.
-
B.
Verchota
Verchota is a surname most notably associated with Phil Verchota, an American ice hockey player and member of the 1980 "Miracle on Ice" U.S. Olympic team.
-
C.
Velda
Velda is the loyal and resourceful secretary and love interest of private investigator Mike Hammer in the hardboiled crime novel and film "Kiss Me Deadly."
-
D.
Narona
Narona was an important ancient Roman city and trading center in the province of Dalmatia, located near the mouth of the Neretva River in what is now southern Croatia.
-
E.
Zeilin
Zeilin is a surname most notably associated with Jacob Zeilin, the first United States Marine Corps officer to be promoted to the rank of brigadier general.
- 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: Vondra Triple: [Alexander Vondra, familyName, Vondra]
Generated description
Vondra is a Czech surname most notably borne by politician and diplomat Alexander Vondra.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Vondra Target entity description: Vondra is a Czech surname most notably borne by politician and diplomat Alexander Vondra.
-
A.
Vindrey
Vindrey is a rural locality in Russia notable as the birthplace of Soviet Marshal Sergei Akhromeyev.
-
B.
Verchota
Verchota is a surname most notably associated with Phil Verchota, an American ice hockey player and member of the 1980 "Miracle on Ice" U.S. Olympic team.
-
C.
Velda
Velda is the loyal and resourceful secretary and love interest of private investigator Mike Hammer in the hardboiled crime novel and film "Kiss Me Deadly."
-
D.
Narona
Narona was an important ancient Roman city and trading center in the province of Dalmatia, located near the mouth of the Neretva River in what is now southern Croatia.
-
E.
Zeilin
Zeilin is a surname most notably associated with Jacob Zeilin, the first United States Marine Corps officer to be promoted to the rank of brigadier general.
- 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_69d8b9edf16c8190a59ebd245d378f4f |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e485fe70648190b4107e1eabacc694 |
completed | April 19, 2026, 7:36 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a02ff5440308190b45a2a45cd150637 |
completed | May 12, 2026, 10:22 a.m. |
| NEDg | Description generation | batch_6a03003084fc8190b7272f7d2e0735d7 |
completed | May 12, 2026, 10:25 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0300e885e481909c76dfbac2fd1009 |
completed | May 12, 2026, 10:28 a.m. |
Created at: April 10, 2026, 10:11 a.m.