Triple
T13550453
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | HC Kladno |
E323629
|
entity |
| Predicate | hasRetiredNumber |
P895
|
FINISHED |
| Object |
#6 Milan Nový
#6 Milan Nový is the retired jersey number of legendary Czech ice hockey forward Milan Nový, honored by HC Kladno for his outstanding contributions to the club.
|
E1047272
|
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: #6 Milan Nový | Statement: [HC Kladno, hasRetiredNumber, #6 Milan Nový]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: #6 Milan Nový Context triple: [HC Kladno, hasRetiredNumber, #6 Milan Nový]
-
A.
Novák
Novák is a common Czech and Slovak surname, equivalent to the Polish surname Nowak.
-
B.
Nováky
Nováky is a small industrial town in western Slovakia known for its coal mining and power generation facilities.
-
C.
Novotný
Novotný is a common Czech surname borne by various notable figures in politics, arts, and sports.
-
D.
Milan Trenc
Milan Trenc is a Croatian illustrator, animator, and filmmaker best known for creating the children's book that inspired the "Night at the Museum" film series.
-
E.
Jan Vostrcil
Jan Vostrcil was a Czech non-professional actor best known for his memorable role in Miloš Forman’s satirical film "The Firemen’s Ball."
- 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: #6 Milan Nový Triple: [HC Kladno, hasRetiredNumber, #6 Milan Nový]
Generated description
#6 Milan Nový is the retired jersey number of legendary Czech ice hockey forward Milan Nový, honored by HC Kladno for his outstanding contributions to the club.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: #6 Milan Nový Target entity description: #6 Milan Nový is the retired jersey number of legendary Czech ice hockey forward Milan Nový, honored by HC Kladno for his outstanding contributions to the club.
-
A.
Novák
Novák is a common Czech and Slovak surname, equivalent to the Polish surname Nowak.
-
B.
Nováky
Nováky is a small industrial town in western Slovakia known for its coal mining and power generation facilities.
-
C.
Novotný
Novotný is a common Czech surname borne by various notable figures in politics, arts, and sports.
-
D.
Milan Trenc
Milan Trenc is a Croatian illustrator, animator, and filmmaker best known for creating the children's book that inspired the "Night at the Museum" film series.
-
E.
Jan Vostrcil
Jan Vostrcil was a Czech non-professional actor best known for his memorable role in Miloš Forman’s satirical film "The Firemen’s Ball."
- 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_69d8076776248190bdf0d4fa1f85a5fc |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbaff0a6548190b8cde5084cef0061 |
completed | April 12, 2026, 2:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f75da4e19c819090d649b60a2dd410 |
completed | May 3, 2026, 2:37 p.m. |
| NEDg | Description generation | batch_69f75ec5101081909652b0c0998b36c8 |
completed | May 3, 2026, 2:42 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f75f4a3b0c81908c0ca0351771953b |
completed | May 3, 2026, 2:44 p.m. |
Created at: April 9, 2026, 9:46 p.m.