Triple
T21886672
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Reitz |
E540422
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Stefan Reitz
Stefan Reitz is a German economist and researcher known for his work in international finance and exchange rate dynamics.
|
E1514328
|
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: Stefan Reitz | Statement: [Reitz, hasNotableBearer, Stefan Reitz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stefan Reitz Context triple: [Reitz, hasNotableBearer, Stefan Reitz]
-
A.
Stefan Reinhardt
Stefan Reinhardt is a notable individual who shares the Reinhardt surname, recognized as a distinguished bearer of that family name.
-
B.
Stefan Krapf
Stefan Krapf is an Austrian politician who serves as the mayor of the town of Gmunden.
-
C.
Matthias Grunsky
Matthias Grunsky is an Austrian cinematographer known for his long-time collaboration with director Andrew Bujalski on acclaimed independent films.
-
D.
Stefan Langhard
Stefan Langhard is a German local politician who serves as the mayor of the town of Schwelm in North Rhine-Westphalia.
-
E.
Stefan Arndt
Stefan Arndt is a German film producer and co-founder of the production company X Filme Creative Pool, known for working on acclaimed films such as "Cloud Atlas" and "Run Lola Run."
- 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: Stefan Reitz Triple: [Reitz, hasNotableBearer, Stefan Reitz]
Generated description
Stefan Reitz is a German economist and researcher known for his work in international finance and exchange rate dynamics.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Stefan Reitz Target entity description: Stefan Reitz is a German economist and researcher known for his work in international finance and exchange rate dynamics.
-
A.
Stefan Reinhardt
Stefan Reinhardt is a notable individual who shares the Reinhardt surname, recognized as a distinguished bearer of that family name.
-
B.
Stefan Krapf
Stefan Krapf is an Austrian politician who serves as the mayor of the town of Gmunden.
-
C.
Matthias Grunsky
Matthias Grunsky is an Austrian cinematographer known for his long-time collaboration with director Andrew Bujalski on acclaimed independent films.
-
D.
Stefan Langhard
Stefan Langhard is a German local politician who serves as the mayor of the town of Schwelm in North Rhine-Westphalia.
-
E.
Stefan Arndt
Stefan Arndt is a German film producer and co-founder of the production company X Filme Creative Pool, known for working on acclaimed films such as "Cloud Atlas" and "Run Lola Run."
- 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_69e0c47a95908190ae3e19b716accb3d |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f118ed35948190bbffba2c40029eee |
completed | April 28, 2026, 8:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a7361a24081908b1334e2ad9923f9 |
completed | May 18, 2026, 2:03 a.m. |
| NEDg | Description generation | batch_6a0a780f0c008190bd56b7af0bebbc85 |
completed | May 18, 2026, 2:23 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a78c2a94c8190841463b0a52ba16e |
completed | May 18, 2026, 2:26 a.m. |
Created at: April 16, 2026, 7:05 p.m.