Triple
T12300451
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Guben |
E293204
|
entity |
| Predicate | hasMayor |
P185
|
FINISHED |
| Object |
Fred Mahro
Fred Mahro is a German local politician who serves as the mayor of the town of Guben in Brandenburg.
|
E1013329
|
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: Fred Mahro | Statement: [Guben, hasMayor, Fred Mahro]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fred Mahro Context triple: [Guben, hasMayor, Fred Mahro]
-
A.
Charles Rettig
Charles Rettig is an American tax attorney who served as the Commissioner of the Internal Revenue Service (IRS) from 2018 to 2022.
-
B.
Rick Mahorn
Rick Mahorn is a former NBA power forward/center best known as a rugged, physical enforcer and key member of the Detroit Pistons' late-1980s "Bad Boys" teams.
-
C.
Frank Hagen
Frank Hagen is one of the sons of Tom Hagen, the fictional consigliere to the Corleone family in Mario Puzo’s "The Godfather" universe.
-
D.
Frank Bracht
Frank Bracht was an American film editor known for his work on mid-20th-century Hollywood productions, including the biographical drama "Harlow" (1965).
-
E.
John Masius
John Masius is an American television writer and producer best known for creating and writing several popular drama series, including the spiritual drama "Touched by an Angel."
- 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: Fred Mahro Triple: [Guben, hasMayor, Fred Mahro]
Generated description
Fred Mahro is a German local politician who serves as the mayor of the town of Guben in Brandenburg.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Fred Mahro Target entity description: Fred Mahro is a German local politician who serves as the mayor of the town of Guben in Brandenburg.
-
A.
Charles Rettig
Charles Rettig is an American tax attorney who served as the Commissioner of the Internal Revenue Service (IRS) from 2018 to 2022.
-
B.
Rick Mahorn
Rick Mahorn is a former NBA power forward/center best known as a rugged, physical enforcer and key member of the Detroit Pistons' late-1980s "Bad Boys" teams.
-
C.
Frank Hagen
Frank Hagen is one of the sons of Tom Hagen, the fictional consigliere to the Corleone family in Mario Puzo’s "The Godfather" universe.
-
D.
Frank Bracht
Frank Bracht was an American film editor known for his work on mid-20th-century Hollywood productions, including the biographical drama "Harlow" (1965).
-
E.
John Masius
John Masius is an American television writer and producer best known for creating and writing several popular drama series, including the spiritual drama "Touched by an Angel."
- 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_69d6ab6a2b50819082f6aedd32ed608a |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93edb59908190bcef9d0cdc11081f |
completed | April 10, 2026, 6:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6b8b9717c8190b8ac71989d3b3582 |
completed | May 3, 2026, 2:53 a.m. |
| NEDg | Description generation | batch_69f6b9a1ca54819085da2ca592bf5219 |
completed | May 3, 2026, 2:57 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6bb03d8d88190930edd0f49fec8aa |
completed | May 3, 2026, 3:03 a.m. |
Created at: April 8, 2026, 9:53 p.m.