Triple
T9949308
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Butz |
E195286
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Matthias Butz
Matthias Butz is an individual notable enough to be specifically cited as a bearer of the surname Butz.
|
E833188
|
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: Matthias Butz | Statement: [Butz, hasNotableBearer, Matthias Butz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Matthias Butz Context triple: [Butz, hasNotableBearer, Matthias Butz]
-
A.
Matthias Koenigswieser
Matthias Koenigswieser is a cinematographer known for his work on feature films such as the live-action Disney movie "Christopher Robin."
-
B.
Philipp Demandt
Philipp Demandt is a German art historian and museum director known for leading major cultural institutions such as the Städel Museum and the Liebieghaus Skulpturensammlung in Frankfurt.
-
C.
Matthias Ringmann
Matthias Ringmann was a German humanist scholar and cartographer best known for helping name the continent America through his collaboration on the 1507 Waldseemüller world map.
-
D.
Matthias Brandt
Matthias Brandt is a German actor and the son of former German chancellor Willy Brandt.
-
E.
Markus Vogt
Markus Vogt is an architect known for his work on the design of the Bundesplatz in Switzerland.
- 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: Matthias Butz Triple: [Butz, hasNotableBearer, Matthias Butz]
Generated description
Matthias Butz is an individual notable enough to be specifically cited as a bearer of the surname Butz.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Matthias Butz Target entity description: Matthias Butz is an individual notable enough to be specifically cited as a bearer of the surname Butz.
-
A.
Matthias Koenigswieser
Matthias Koenigswieser is a cinematographer known for his work on feature films such as the live-action Disney movie "Christopher Robin."
-
B.
Philipp Demandt
Philipp Demandt is a German art historian and museum director known for leading major cultural institutions such as the Städel Museum and the Liebieghaus Skulpturensammlung in Frankfurt.
-
C.
Matthias Ringmann
Matthias Ringmann was a German humanist scholar and cartographer best known for helping name the continent America through his collaboration on the 1507 Waldseemüller world map.
-
D.
Matthias Brandt
Matthias Brandt is a German actor and the son of former German chancellor Willy Brandt.
-
E.
Markus Vogt
Markus Vogt is an architect known for his work on the design of the Bundesplatz in Switzerland.
- 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_69ca82e96a108190932bd1fc4acd73a0 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdb65a4e6c8190968192a24aad1b7d |
completed | April 2, 2026, 12:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d257a164308190b88432b914ea7f1a |
completed | April 5, 2026, 12:37 p.m. |
| NEDg | Description generation | batch_69d25924eb2481909dbf135c387051e3 |
completed | April 5, 2026, 12:44 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d259b292c88190818f512f90a641f3 |
completed | April 5, 2026, 12:46 p.m. |
Created at: March 30, 2026, 8:45 p.m.