Triple
T20729769
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Berghaupten |
E509538
|
entity |
| Predicate | hasMayor |
P185
|
FINISHED |
| Object |
Philipp Clever
Philipp Clever is a German local politician serving as the mayor of the municipality of Berghaupten in Baden-Württemberg.
|
E1447476
|
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: Philipp Clever | Statement: [Berghaupten, hasMayor, Philipp Clever]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Philipp Clever Context triple: [Berghaupten, hasMayor, Philipp Clever]
-
A.
Oliver Kassman
Oliver Kassman is a film producer known for his work on the psychological horror film "Love Lies Bleeding."
-
B.
Matthias Zell
Matthias Zell was a leading early Protestant reformer and preacher in Strasbourg who played a central role in introducing and spreading Reformation ideas in the city.
-
C.
Oliver Günther
Oliver Günther is a German computer scientist and academic who serves as the president (rector) of the University of Potsdam.
-
D.
Oliver Samwer
Oliver Samwer is a German internet entrepreneur and investor best known as a co-founder of Rocket Internet and for building and scaling numerous online startups worldwide.
-
E.
Jeremy Theobald
Jeremy Theobald is a British actor best known for starring in Christopher Nolan’s debut feature film "Following."
- 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: Philipp Clever Triple: [Berghaupten, hasMayor, Philipp Clever]
Generated description
Philipp Clever is a German local politician serving as the mayor of the municipality of Berghaupten in Baden-Württemberg.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Philipp Clever Target entity description: Philipp Clever is a German local politician serving as the mayor of the municipality of Berghaupten in Baden-Württemberg.
-
A.
Oliver Kassman
Oliver Kassman is a film producer known for his work on the psychological horror film "Love Lies Bleeding."
-
B.
Matthias Zell
Matthias Zell was a leading early Protestant reformer and preacher in Strasbourg who played a central role in introducing and spreading Reformation ideas in the city.
-
C.
Oliver Günther
Oliver Günther is a German computer scientist and academic who serves as the president (rector) of the University of Potsdam.
-
D.
Oliver Samwer
Oliver Samwer is a German internet entrepreneur and investor best known as a co-founder of Rocket Internet and for building and scaling numerous online startups worldwide.
-
E.
Jeremy Theobald
Jeremy Theobald is a British actor best known for starring in Christopher Nolan’s debut feature film "Following."
- 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_69e0b4c589c08190834fb5d86d0efa2b |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c1ec9820819093a07f90503686b2 |
completed | April 21, 2026, 12:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08e05db8ac8190bd2e7ca0d184a426 |
completed | May 16, 2026, 9:23 p.m. |
| NEDg | Description generation | batch_6a08e15d93ec8190bbe859fb42a4a5ac |
completed | May 16, 2026, 9:27 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08e25d8cb08190ba75b792aac192ab |
completed | May 16, 2026, 9:32 p.m. |
Created at: April 16, 2026, 12:30 p.m.