Triple
T6316738
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kolbermoor |
E141634
|
entity |
| Predicate | hasMayor |
P185
|
FINISHED |
| Object |
Peter Kloo
Peter Kloo is a German local politician who serves as the mayor of the Bavarian town of Kolbermoor.
|
E585032
|
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: Peter Kloo | Statement: [Kolbermoor, hasMayor, Peter Kloo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Peter Kloo Context triple: [Kolbermoor, hasMayor, Peter Kloo]
-
A.
Tinus Osendarp
Tinus Osendarp was a Dutch sprinter best known for winning two bronze medals in the 100 m and 200 m events at the 1936 Berlin Olympics.
-
B.
Paul Troost
Paul Troost was a prominent German architect of the early 20th century known for his neoclassical designs and close association with the Nazi regime.
-
C.
Kevin Tent
Kevin Tent is an American film editor best known for his long-time collaboration with director Alexander Payne on acclaimed films such as "The Descendants."
-
D.
Marc Overmars
Marc Overmars is a former Dutch winger renowned for his blistering pace and key roles at clubs like Ajax, Arsenal, and Barcelona, as well as for his contributions to the Netherlands national team in the 1990s and early 2000s.
-
E.
Tim Mertens
Tim Mertens is a film editor best known for his work on the animated feature "Big Hero 6."
- 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: Peter Kloo Triple: [Kolbermoor, hasMayor, Peter Kloo]
Generated description
Peter Kloo is a German local politician who serves as the mayor of the Bavarian town of Kolbermoor.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Peter Kloo Target entity description: Peter Kloo is a German local politician who serves as the mayor of the Bavarian town of Kolbermoor.
-
A.
Tinus Osendarp
Tinus Osendarp was a Dutch sprinter best known for winning two bronze medals in the 100 m and 200 m events at the 1936 Berlin Olympics.
-
B.
Paul Troost
Paul Troost was a prominent German architect of the early 20th century known for his neoclassical designs and close association with the Nazi regime.
-
C.
Kevin Tent
Kevin Tent is an American film editor best known for his long-time collaboration with director Alexander Payne on acclaimed films such as "The Descendants."
-
D.
Marc Overmars
Marc Overmars is a former Dutch winger renowned for his blistering pace and key roles at clubs like Ajax, Arsenal, and Barcelona, as well as for his contributions to the Netherlands national team in the 1990s and early 2000s.
-
E.
Tim Mertens
Tim Mertens is a film editor best known for his work on the animated feature "Big Hero 6."
- 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_69c008d13b8c8190be47d896eb735605 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c064c25530819080b29e0029175c00 |
completed | March 22, 2026, 9:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c5e478987c819085df63dab784af2a |
completed | March 27, 2026, 1:59 a.m. |
| NEDg | Description generation | batch_69c5f86226888190a8af3629ae55feff |
completed | March 27, 2026, 3:24 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c5f8dc9114819095d41e0d0d260ee9 |
completed | March 27, 2026, 3:26 a.m. |
Created at: March 22, 2026, 4:29 p.m.