Triple
T15334806
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ernst Weiß |
E366635
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Weiß
Weiß is a German surname commonly borne by individuals of German-speaking origin.
|
E1152340
|
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: Weiß | Statement: [Ernst Weiß, familyName, Weiß]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Weiß Context triple: [Ernst Weiß, familyName, Weiß]
-
A.
Бяла
Бяла is a small Bulgarian town known for its location near the Black Sea coast and its mix of historical and seaside tourism attractions.
-
B.
Holzweißig
Holzweißig is a former municipality in Saxony-Anhalt, Germany, that now forms part of the industrial town of Bitterfeld-Wolfen.
-
C.
Bianco
Bianco is an Italian surname commonly associated with individuals of Italian heritage, including the artist Enrico Bianco.
-
D.
Witte
Witte is a surname most notably associated with Edwin E. Witte, an American economist often called the “father of Social Security” for his key role in shaping U.S. social welfare policy.
-
E.
Blanc
Blanc is the surname of Mel Blanc, the legendary American voice actor best known for bringing to life many iconic Looney Tunes characters.
- 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: Weiß Triple: [Ernst Weiß, familyName, Weiß]
Generated description
Weiß is a German surname commonly borne by individuals of German-speaking origin.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Weiß Target entity description: Weiß is a German surname commonly borne by individuals of German-speaking origin.
-
A.
Бяла
Бяла is a small Bulgarian town known for its location near the Black Sea coast and its mix of historical and seaside tourism attractions.
-
B.
Holzweißig
Holzweißig is a former municipality in Saxony-Anhalt, Germany, that now forms part of the industrial town of Bitterfeld-Wolfen.
-
C.
Bianco
Bianco is an Italian surname commonly associated with individuals of Italian heritage, including the artist Enrico Bianco.
-
D.
Witte
Witte is a surname most notably associated with Edwin E. Witte, an American economist often called the “father of Social Security” for his key role in shaping U.S. social welfare policy.
-
E.
Blanc
Blanc is the surname of Mel Blanc, the legendary American voice actor best known for bringing to life many iconic Looney Tunes characters.
- 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_69d85a121520819093dcce999fdefe1a |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e03c5f081908e4d14dbdbc7f7a6 |
completed | April 16, 2026, 1:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff01ee7480819080133a9910a2bf52 |
completed | May 9, 2026, 9:44 a.m. |
| NEDg | Description generation | batch_69ff05fbf6e481909727758ae2699bad |
completed | May 9, 2026, 10:01 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff06e098cc8190ab67143071bca1dc |
completed | May 9, 2026, 10:05 a.m. |
Created at: April 10, 2026, 3:17 a.m.