Triple
T12418726
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Heilbronn |
E296707
|
entity |
| Predicate | mayor |
P185
|
FINISHED |
| Object |
Harry Mergel
Harry Mergel is a German politician who serves as the lord mayor of the city of Heilbronn in Baden-Württemberg.
|
E986492
|
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: Harry Mergel | Statement: [Heilbronn, mayor, Harry Mergel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Harry Mergel Context triple: [Heilbronn, mayor, Harry Mergel]
-
A.
John Heydler
John Heydler was an American baseball executive who served as president of the National League in the early 20th century.
-
B.
Anthony Kilhoffer
Anthony Kilhoffer is a Grammy-winning American record producer and audio engineer known for his extensive work with artists like Kanye West and other major hip-hop and pop acts.
-
C.
Walter Blume
Walter Blume was a German aircraft designer and former World War I fighter ace best known for his work on advanced Luftwaffe aircraft during the Second World War.
-
D.
Harry Hoijer
Harry Hoijer was an American linguist and anthropologist known for his influential work on Athabaskan languages and Native American linguistics.
-
E.
Karl Krueger
Karl Krueger was an American conductor known for his work with major orchestras and for making early high-fidelity orchestral recordings.
- 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: Harry Mergel Triple: [Heilbronn, mayor, Harry Mergel]
Generated description
Harry Mergel is a German politician who serves as the lord mayor of the city of Heilbronn in Baden-Württemberg.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Harry Mergel Target entity description: Harry Mergel is a German politician who serves as the lord mayor of the city of Heilbronn in Baden-Württemberg.
-
A.
John Heydler
John Heydler was an American baseball executive who served as president of the National League in the early 20th century.
-
B.
Anthony Kilhoffer
Anthony Kilhoffer is a Grammy-winning American record producer and audio engineer known for his extensive work with artists like Kanye West and other major hip-hop and pop acts.
-
C.
Walter Blume
Walter Blume was a German aircraft designer and former World War I fighter ace best known for his work on advanced Luftwaffe aircraft during the Second World War.
-
D.
Harry Hoijer
Harry Hoijer was an American linguist and anthropologist known for his influential work on Athabaskan languages and Native American linguistics.
-
E.
Karl Krueger
Karl Krueger was an American conductor known for his work with major orchestras and for making early high-fidelity orchestral recordings.
- 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_69d6ada0640c81908c061d7fb3d47786 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94d6efd748190a5d9396a343e41e1 |
completed | April 10, 2026, 7:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f64b97df9081909b281ed6c568fa37 |
completed | May 2, 2026, 7:08 p.m. |
| NEDg | Description generation | batch_69f64def9a6081908c3048f948829051 |
completed | May 2, 2026, 7:18 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f64ea1719c8190b91ffaab60db25ad |
completed | May 2, 2026, 7:21 p.m. |
Created at: April 8, 2026, 9:55 p.m.