Triple
T12768349
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Weitz |
E305181
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Wolfgang Weitz
Wolfgang Weitz is an individual notable enough to be recognized as a prominent bearer of the surname Weitz.
|
E1052096
|
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: Wolfgang Weitz | Statement: [Weitz, hasNotableBearer, Wolfgang Weitz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wolfgang Weitz Context triple: [Weitz, hasNotableBearer, Wolfgang Weitz]
-
A.
Herbert Kretzmer
Herbert Kretzmer was a South African-born British journalist and lyricist best known for writing the English-language lyrics for the musical Les Misérables.
-
B.
Klaus Wolter
Klaus Wolter is a climate scientist known for creating the Multivariate ENSO Index, a key tool for monitoring and analyzing El Niño–Southern Oscillation variability.
-
C.
Hans Goerke
Hans Goerke was the original owner and namesake of the historic Goerke House.
-
D.
Wolfgang Zimmermann
Wolfgang Zimmermann is a physicist known for his contributions to quantum field theory, particularly through the LSZ reduction formula that bears his name.
-
E.
Otto Schniewind
Otto Schniewind was a German admiral of the Kriegsmarine during World War II who later stood trial as a defendant in the postwar High Command Trial for alleged war crimes.
- 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: Wolfgang Weitz Triple: [Weitz, hasNotableBearer, Wolfgang Weitz]
Generated description
Wolfgang Weitz is an individual notable enough to be recognized as a prominent bearer of the surname Weitz.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Wolfgang Weitz Target entity description: Wolfgang Weitz is an individual notable enough to be recognized as a prominent bearer of the surname Weitz.
-
A.
Herbert Kretzmer
Herbert Kretzmer was a South African-born British journalist and lyricist best known for writing the English-language lyrics for the musical Les Misérables.
-
B.
Klaus Wolter
Klaus Wolter is a climate scientist known for creating the Multivariate ENSO Index, a key tool for monitoring and analyzing El Niño–Southern Oscillation variability.
-
C.
Hans Goerke
Hans Goerke was the original owner and namesake of the historic Goerke House.
-
D.
Wolfgang Zimmermann
Wolfgang Zimmermann is a physicist known for his contributions to quantum field theory, particularly through the LSZ reduction formula that bears his name.
-
E.
Otto Schniewind
Otto Schniewind was a German admiral of the Kriegsmarine during World War II who later stood trial as a defendant in the postwar High Command Trial for alleged war crimes.
- 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_69d7bdf2b43c819098ae5aa68e61ea58 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96df3b2f88190b37b696400178795 |
completed | April 10, 2026, 9:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f78ac916748190821c0cdabe54fcbc |
completed | May 3, 2026, 5:50 p.m. |
| NEDg | Description generation | batch_69f78c2e48c48190afb5508beb052af3 |
completed | May 3, 2026, 5:55 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f78ce2cd50819092654b63acd2c3bf |
completed | May 3, 2026, 5:58 p.m. |
Created at: April 9, 2026, 5:28 p.m.