Triple
T12306060
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roman Catholic Archdiocese of Prague |
E293354
|
entity |
| Predicate | hasOrdinary |
P16623
|
FINISHED |
| Object |
Jan Graubner
Jan Graubner is a Czech Roman Catholic prelate who serves as a senior archbishop and prominent church leader in the Czech Republic.
|
E974095
|
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: Jan Graubner | Statement: [Roman Catholic Archdiocese of Prague, hasOrdinary, Jan Graubner]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jan Graubner Context triple: [Roman Catholic Archdiocese of Prague, hasOrdinary, Jan Graubner]
-
A.
Daniel Roher
Daniel Roher is a Canadian documentary filmmaker best known for directing the Oscar-winning political documentary "Navalny."
-
B.
Peter Weibel
Peter Weibel was an influential Austrian artist, curator, and media theorist known for his pioneering work in conceptual and media art and his leadership roles in major European art institutions.
-
C.
Christian Berger
Christian Berger is an acclaimed Austrian cinematographer best known for his long-time collaboration with director Michael Haneke, including the Oscar-winning film "The White Ribbon."
-
D.
Tobias Kohn
Tobias Kohn is a computer scientist and software developer known for his contributions to the Python language, including co-authoring PEP 622 on pattern matching.
-
E.
Joseph Wintergerst
Joseph Wintergerst was a 19th-century German painter and art teacher associated with the Nazarene movement and early Romantic religious art.
- 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: Jan Graubner Triple: [Roman Catholic Archdiocese of Prague, hasOrdinary, Jan Graubner]
Generated description
Jan Graubner is a Czech Roman Catholic prelate who serves as a senior archbishop and prominent church leader in the Czech Republic.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jan Graubner Target entity description: Jan Graubner is a Czech Roman Catholic prelate who serves as a senior archbishop and prominent church leader in the Czech Republic.
-
A.
Daniel Roher
Daniel Roher is a Canadian documentary filmmaker best known for directing the Oscar-winning political documentary "Navalny."
-
B.
Peter Weibel
Peter Weibel was an influential Austrian artist, curator, and media theorist known for his pioneering work in conceptual and media art and his leadership roles in major European art institutions.
-
C.
Christian Berger
Christian Berger is an acclaimed Austrian cinematographer best known for his long-time collaboration with director Michael Haneke, including the Oscar-winning film "The White Ribbon."
-
D.
Tobias Kohn
Tobias Kohn is a computer scientist and software developer known for his contributions to the Python language, including co-authoring PEP 622 on pattern matching.
-
E.
Joseph Wintergerst
Joseph Wintergerst was a 19th-century German painter and art teacher associated with the Nazarene movement and early Romantic religious art.
- 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_69d6ab6a2b50819082f6aedd32ed608a |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93f00695c8190b7365e4593631690 |
completed | April 10, 2026, 6:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f61e7f8fd08190bdef3bb761d53f97 |
completed | May 2, 2026, 3:55 p.m. |
| NEDg | Description generation | batch_69f61f5cc5608190a67a888eb5136ada |
completed | May 2, 2026, 3:59 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f62006afcc8190b8e3b55a5fd8eaca |
completed | May 2, 2026, 4:02 p.m. |
Created at: April 8, 2026, 9:53 p.m.