Triple
T12174150
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Julian de Guzman |
E290046
|
entity |
| Predicate | playedFor |
P2170
|
FINISHED |
| Object |
Jahn Regensburg
Jahn Regensburg is a German professional football club based in Regensburg, Bavaria, that competes in the country’s league system.
|
E965881
|
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: Jahn Regensburg | Statement: [Julian de Guzman, playedFor, Jahn Regensburg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jahn Regensburg Context triple: [Julian de Guzman, playedFor, Jahn Regensburg]
-
A.
Jahn
Jahn is a German surname borne by various notable figures in fields such as classical philology, musicology, and gymnastics.
-
B.
Johannes Großfuß
Johannes Großfuß was a German industrialist and factory owner known for founding the Metall- und Lackwarenfabrik that bore his name.
-
C.
Jakob Knappich
Jakob Knappich was a German industrialist and entrepreneur best known as a co-founder of the robotics and automation company KUKA.
-
D.
Olkmar Fichtner
Olkmar Fichtner is a German local politician who has served as the mayor of the city of Naumburg (Saale) in Saxony-Anhalt.
-
E.
Hannes Jaenicke
Hannes Jaenicke is a German actor and documentary filmmaker known for his roles in film and television as well as his environmental activism.
- 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: Jahn Regensburg Triple: [Julian de Guzman, playedFor, Jahn Regensburg]
Generated description
Jahn Regensburg is a German professional football club based in Regensburg, Bavaria, that competes in the country’s league system.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jahn Regensburg Target entity description: Jahn Regensburg is a German professional football club based in Regensburg, Bavaria, that competes in the country’s league system.
-
A.
Jahn
Jahn is a German surname borne by various notable figures in fields such as classical philology, musicology, and gymnastics.
-
B.
Johannes Großfuß
Johannes Großfuß was a German industrialist and factory owner known for founding the Metall- und Lackwarenfabrik that bore his name.
-
C.
Jakob Knappich
Jakob Knappich was a German industrialist and entrepreneur best known as a co-founder of the robotics and automation company KUKA.
-
D.
Olkmar Fichtner
Olkmar Fichtner is a German local politician who has served as the mayor of the city of Naumburg (Saale) in Saxony-Anhalt.
-
E.
Hannes Jaenicke
Hannes Jaenicke is a German actor and documentary filmmaker known for his roles in film and television as well as his environmental activism.
- 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_69d6ab4d6c00819095a9a7c35de83cfb |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d915dab42881908e2580c631d4d1cf |
completed | April 10, 2026, 3:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f5f6a9482481909500c216f23fceb4 |
completed | May 2, 2026, 1:05 p.m. |
| NEDg | Description generation | batch_69f5fdebe3fc81909a5bb23a943c3c43 |
completed | May 2, 2026, 1:36 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f5feeaf2e48190995f282b02a9caaf |
completed | May 2, 2026, 1:40 p.m. |
Created at: April 8, 2026, 9:50 p.m.