Triple
T16653444
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lauffen am Neckar |
E404663
|
entity |
| Predicate | hasMayor |
P185
|
FINISHED |
| Object |
Anke Schumann
Anke Schumann is a German local politician who serves as the mayor of the town of Lauffen am Neckar in Baden-Württemberg.
|
E1225819
|
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: Anke Schumann | Statement: [Lauffen am Neckar, hasMayor, Anke Schumann]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anke Schumann Context triple: [Lauffen am Neckar, hasMayor, Anke Schumann]
-
A.
Anke Engelke
Anke Engelke is a prominent German comedian, actress, and television presenter known for her work in sketch comedy, film, and voice acting.
-
B.
Barbara Scholz
Barbara Scholz is a philosopher of linguistics known for her influential critiques of nativist theories of language acquisition, particularly the poverty of the stimulus argument.
-
C.
Birgit Menzel
Birgit Menzel is a scholar and academic known for her work in Slavic studies and Russian literature and culture.
-
D.
Dagmar Berghoff
Dagmar Berghoff is a prominent German television and radio presenter best known as one of the first and most recognizable news anchors for the ARD Tagesschau.
-
E.
Sabine Völker
Sabine Völker is a German speed skater known for winning an Olympic bronze medal in the 500 m event at the 2002 Winter Games.
- 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: Anke Schumann Triple: [Lauffen am Neckar, hasMayor, Anke Schumann]
Generated description
Anke Schumann is a German local politician who serves as the mayor of the town of Lauffen am Neckar in Baden-Württemberg.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Anke Schumann Target entity description: Anke Schumann is a German local politician who serves as the mayor of the town of Lauffen am Neckar in Baden-Württemberg.
-
A.
Anke Engelke
Anke Engelke is a prominent German comedian, actress, and television presenter known for her work in sketch comedy, film, and voice acting.
-
B.
Barbara Scholz
Barbara Scholz is a philosopher of linguistics known for her influential critiques of nativist theories of language acquisition, particularly the poverty of the stimulus argument.
-
C.
Birgit Menzel
Birgit Menzel is a scholar and academic known for her work in Slavic studies and Russian literature and culture.
-
D.
Dagmar Berghoff
Dagmar Berghoff is a prominent German television and radio presenter best known as one of the first and most recognizable news anchors for the ARD Tagesschau.
-
E.
Sabine Völker
Sabine Völker is a German speed skater known for winning an Olympic bronze medal in the 500 m event at the 2002 Winter Games.
- 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_69d8838b5fbc81908c6575c132b82e80 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37bf861348190b2b0b5574d4ddb4f |
completed | April 18, 2026, 12:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0084c6bf8c81909b376875ae038e3f |
completed | May 10, 2026, 1:14 p.m. |
| NEDg | Description generation | batch_6a008558218c8190b0e72356ae52afd2 |
completed | May 10, 2026, 1:17 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a008624706881909e9a265a37eeb3fc |
completed | May 10, 2026, 1:20 p.m. |
Created at: April 10, 2026, 5:18 a.m.