Triple
T9319919
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hermann Weingärtner |
E224222
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Weingärtner
Weingärtner is a German surname most notably associated with Olympic gymnast Hermann Weingärtner.
|
E791533
|
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: Weingärtner | Statement: [Hermann Weingärtner, familyName, Weingärtner]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Weingärtner Context triple: [Hermann Weingärtner, familyName, Weingärtner]
-
A.
Dolph Heyliger
Dolph Heyliger is a fictional character from Washington Irving’s collection "Bracebridge Hall," known for his adventurous exploits and supernatural encounters.
-
B.
Carlos Holzwarth
Carlos Holzwarth was an art instructor and mentor known for teaching and influencing painter Armin Hansen.
-
C.
Holt Richter
Holt Richter is a flamboyant, openly gay character from the animated sitcom "The Cleveland Show," known for being one of Cleveland Brown's close friends in the fictional town of Stoolbend, Virginia.
-
D.
Werneck
Werneck is a market town in the Schweinfurt district of northern Bavaria, Germany, known for its baroque palace and surrounding rural landscape.
-
E.
Allen Heim
Allen Heim is an American film editor known for his work on numerous acclaimed movies and television projects.
- 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: Weingärtner Triple: [Hermann Weingärtner, familyName, Weingärtner]
Generated description
Weingärtner is a German surname most notably associated with Olympic gymnast Hermann Weingärtner.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Weingärtner Target entity description: Weingärtner is a German surname most notably associated with Olympic gymnast Hermann Weingärtner.
-
A.
Dolph Heyliger
Dolph Heyliger is a fictional character from Washington Irving’s collection "Bracebridge Hall," known for his adventurous exploits and supernatural encounters.
-
B.
Carlos Holzwarth
Carlos Holzwarth was an art instructor and mentor known for teaching and influencing painter Armin Hansen.
-
C.
Holt Richter
Holt Richter is a flamboyant, openly gay character from the animated sitcom "The Cleveland Show," known for being one of Cleveland Brown's close friends in the fictional town of Stoolbend, Virginia.
-
D.
Werneck
Werneck is a market town in the Schweinfurt district of northern Bavaria, Germany, known for its baroque palace and surrounding rural landscape.
-
E.
Allen Heim
Allen Heim is an American film editor known for his work on numerous acclaimed movies and television projects.
- 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_69ca8426d48481909596360f7791c7dd |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd358dcb4c81909e00bfb58a6dda3f |
completed | April 1, 2026, 3:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0c7cc71e48190afdc3f1120ce5e02 |
completed | April 4, 2026, 8:11 a.m. |
| NEDg | Description generation | batch_69d0c9bc797c8190b0769154b6684d1b |
completed | April 4, 2026, 8:20 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d0cc2f348c8190a962811d8ecdd1bf |
completed | April 4, 2026, 8:30 a.m. |
Created at: March 30, 2026, 7:38 p.m.