Triple
T14497057
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | M. Paul Friedberg |
E359527
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Friedberg
Friedberg is a German-origin surname borne by various notable individuals across fields such as landscape architecture, academia, and the arts.
|
E1103242
|
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: Friedberg | Statement: [M. Paul Friedberg, familyName, Friedberg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Friedberg Context triple: [M. Paul Friedberg, familyName, Friedberg]
-
A.
Friedberg
Friedberg is a historic German town in the state of Hesse, known for its medieval fortifications and strategic importance during the Seven Years' War.
-
B.
Kleinfeld
Kleinfeld is a corrupt, cocaine-addicted lawyer in the crime film "Carlito's Way," whose reckless actions help drive the story’s tragic downfall.
-
C.
Guttstadt
Guttstadt is the former German name of the town now known as Dobre Miasto in northern Poland.
-
D.
Neustadt
Neustadt is a district of the Austrian city of Salzburg, known for its central urban character within the historic and cultural landscape of the city.
-
E.
Neustadt
Neustadt is a vibrant district of Dresden, Germany, known for its historic architecture, lively arts scene, and numerous bars, cafes, and cultural venues.
- 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: Friedberg Triple: [M. Paul Friedberg, familyName, Friedberg]
Generated description
Friedberg is a German-origin surname borne by various notable individuals across fields such as landscape architecture, academia, and the arts.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Friedberg Target entity description: Friedberg is a German-origin surname borne by various notable individuals across fields such as landscape architecture, academia, and the arts.
-
A.
Friedberg
Friedberg is a historic German town in the state of Hesse, known for its medieval fortifications and strategic importance during the Seven Years' War.
-
B.
Kleinfeld
Kleinfeld is a corrupt, cocaine-addicted lawyer in the crime film "Carlito's Way," whose reckless actions help drive the story’s tragic downfall.
-
C.
Guttstadt
Guttstadt is the former German name of the town now known as Dobre Miasto in northern Poland.
-
D.
Neustadt
Neustadt is a district of the Austrian city of Salzburg, known for its central urban character within the historic and cultural landscape of the city.
-
E.
Neustadt
Neustadt is a vibrant district of Dresden, Germany, known for its historic architecture, lively arts scene, and numerous bars, cafes, and cultural venues.
- 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_69d8279740308190af9df93a3af8592e |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de93109cb081909a6e846db23a4635 |
completed | April 14, 2026, 7:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd6d9731588190b27a826582e5fc6d |
completed | May 8, 2026, 4:59 a.m. |
| NEDg | Description generation | batch_69fd6f82453481909a3e1b032f30a7a5 |
completed | May 8, 2026, 5:07 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd708521c881909863b7cd3fc4a313 |
completed | May 8, 2026, 5:11 a.m. |
Created at: April 10, 2026, 1:21 a.m.