Triple
T7638899
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Polish National Radio Symphony Orchestra |
E172948
|
entity |
| Predicate | hasConductor |
P20920
|
FINISHED |
| Object |
Jan Krenz
Jan Krenz was a prominent Polish conductor and composer known for his influential postwar work with leading Polish orchestras and contemporary music.
|
E683382
|
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 Krenz | Statement: [Polish National Radio Symphony Orchestra, hasConductor, Jan Krenz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jan Krenz Context triple: [Polish National Radio Symphony Orchestra, hasConductor, Jan Krenz]
-
A.
Christian Zurbuchen
Christian Zurbuchen was a mountaineer known for making the first recorded ascent of the challenging Caucasus peak Mount Ushba.
-
B.
Klaus Thiel
Klaus Thiel is a German athlete known for competing in racewalking at international track and field events.
-
C.
Christian Scholz
Christian Scholz is a German computer scientist and open-source developer known for his contributions to web technologies and social software.
-
D.
Klaus Kiessler
Klaus Kiessler is a German architect known for designing the main building of the Topography of Terror documentation center in Berlin.
-
E.
Daniel Knauf
Daniel Knauf is an American television writer and producer best known for creating the HBO series "Carnivàle."
- 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 Krenz Triple: [Polish National Radio Symphony Orchestra, hasConductor, Jan Krenz]
Generated description
Jan Krenz was a prominent Polish conductor and composer known for his influential postwar work with leading Polish orchestras and contemporary music.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jan Krenz Target entity description: Jan Krenz was a prominent Polish conductor and composer known for his influential postwar work with leading Polish orchestras and contemporary music.
-
A.
Christian Zurbuchen
Christian Zurbuchen was a mountaineer known for making the first recorded ascent of the challenging Caucasus peak Mount Ushba.
-
B.
Klaus Thiel
Klaus Thiel is a German athlete known for competing in racewalking at international track and field events.
-
C.
Christian Scholz
Christian Scholz is a German computer scientist and open-source developer known for his contributions to web technologies and social software.
-
D.
Klaus Kiessler
Klaus Kiessler is a German architect known for designing the main building of the Topography of Terror documentation center in Berlin.
-
E.
Daniel Knauf
Daniel Knauf is an American television writer and producer best known for creating the HBO series "Carnivàle."
- 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_69c69952849881908fdcea7a93bfc307 |
completed | March 27, 2026, 2:50 p.m. |
| NER | Named-entity recognition | batch_69c6facb14188190952de18fa2699784 |
completed | March 27, 2026, 9:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8ac8fdfe88190a535bf050eff5abb |
completed | March 29, 2026, 4:37 a.m. |
| NEDg | Description generation | batch_69c8aecf09cc8190ab7aacdc26eb20db |
completed | March 29, 2026, 4:47 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c8af6d6d008190a0b291d2dfd1325f |
completed | March 29, 2026, 4:49 a.m. |
Created at: March 27, 2026, 3:57 p.m.