Triple
T10064567
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Neu-Anspach |
E213067
|
entity |
| Predicate | hasMayor |
P185
|
FINISHED |
| Object |
Thomas Pauli
Thomas Pauli is a German local politician who serves as the mayor of the town of Neu-Anspach in Hesse.
|
E881617
|
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: Thomas Pauli | Statement: [Neu-Anspach, hasMayor, Thomas Pauli]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Thomas Pauli Context triple: [Neu-Anspach, hasMayor, Thomas Pauli]
-
A.
Thomas Pfaff
Thomas Pfaff is the son of German economist Anita Bose Pfaff and the grandson of Indian nationalist leader Subhas Chandra Bose.
-
B.
Thomas Schühly
Thomas Schühly is a German film producer best known for his work on ambitious international productions, including Terry Gilliam’s fantasy epic "The Adventures of Baron Munchausen."
-
C.
Karl Huber
Karl Huber was a German politician who served as a high-ranking official in Nazi Germany’s interior administration.
-
D.
Franz N. Lochmatter
Franz N. Lochmatter was a Swiss mountaineer known for pioneering ascents in the Alps, including the first ascent of Liskamm.
-
E.
Thomas Häßler
Thomas Häßler is a former German attacking midfielder renowned for his playmaking skills and key role in Germany’s 1990 World Cup and Euro 1996 triumphs.
- 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: Thomas Pauli Triple: [Neu-Anspach, hasMayor, Thomas Pauli]
Generated description
Thomas Pauli is a German local politician who serves as the mayor of the town of Neu-Anspach in Hesse.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Thomas Pauli Target entity description: Thomas Pauli is a German local politician who serves as the mayor of the town of Neu-Anspach in Hesse.
-
A.
Thomas Pfaff
Thomas Pfaff is the son of German economist Anita Bose Pfaff and the grandson of Indian nationalist leader Subhas Chandra Bose.
-
B.
Thomas Schühly
Thomas Schühly is a German film producer best known for his work on ambitious international productions, including Terry Gilliam’s fantasy epic "The Adventures of Baron Munchausen."
-
C.
Karl Huber
Karl Huber was a German politician who served as a high-ranking official in Nazi Germany’s interior administration.
-
D.
Franz N. Lochmatter
Franz N. Lochmatter was a Swiss mountaineer known for pioneering ascents in the Alps, including the first ascent of Liskamm.
-
E.
Thomas Häßler
Thomas Häßler is a former German attacking midfielder renowned for his playmaking skills and key role in Germany’s 1990 World Cup and Euro 1996 triumphs.
- 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_69ca83977128819084084eb7d1d8c52a |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cdcfd653748190aeddf7a679028604 |
completed | April 2, 2026, 2:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69dbb6bb34548190aac9d2af05477750 |
completed | April 12, 2026, 3:14 p.m. |
| NEDg | Description generation | batch_69dbbb8b0e5c8190afa9aaa134bcebf2 |
completed | April 12, 2026, 3:34 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69dbbc3ce1008190a16d442a22d45967 |
completed | April 12, 2026, 3:37 p.m. |
Created at: March 30, 2026, 8:58 p.m.