Triple
T20555774
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Günther Behnisch |
E504715
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object |
Stefan Behnisch
Stefan Behnisch is a German architect known for his sustainable and human-centered designs and as the principal of the firm Behnisch Architekten.
|
E1439015
|
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 Behnisch | Statement: [Günther Behnisch, child, Stefan Behnisch]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stefan Behnisch Context triple: [Günther Behnisch, child, Stefan Behnisch]
-
A.
Dietmar Roth
Dietmar Roth is a modern biblical scholar known for producing a contemporary reconstruction of Marcion’s Gospel.
-
B.
Uwe Schlaich
Uwe Schlaich is a German architect known for designing the main building of the Topography of Terror documentation center in Berlin.
-
C.
Jürgen Mayer
Jürgen Mayer is a German architect and artist known for his innovative, sculptural designs that blend architecture with digital technology and public art.
-
D.
Andreas Schlüter
Andreas Schlüter is a German local politician who serves as the mayor of the municipality of Gerswalde in Brandenburg.
-
E.
Andreas Schlüter
Andreas Schlüter was a prominent German Baroque sculptor and architect best known for his influential work in Prussia at the turn of the 18th century.
- 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 Behnisch Triple: [Günther Behnisch, child, Stefan Behnisch]
Generated description
Stefan Behnisch is a German architect known for his sustainable and human-centered designs and as the principal of the firm Behnisch Architekten.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Stefan Behnisch Target entity description: Stefan Behnisch is a German architect known for his sustainable and human-centered designs and as the principal of the firm Behnisch Architekten.
-
A.
Dietmar Roth
Dietmar Roth is a modern biblical scholar known for producing a contemporary reconstruction of Marcion’s Gospel.
-
B.
Uwe Schlaich
Uwe Schlaich is a German architect known for designing the main building of the Topography of Terror documentation center in Berlin.
-
C.
Jürgen Mayer
Jürgen Mayer is a German architect and artist known for his innovative, sculptural designs that blend architecture with digital technology and public art.
-
D.
Andreas Schlüter
Andreas Schlüter was a prominent German Baroque sculptor and architect best known for his influential work in Prussia at the turn of the 18th century.
-
E.
Andreas Schlüter
Andreas Schlüter is a German local politician who serves as the mayor of the municipality of Gerswalde in Brandenburg.
- 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_69e0b4b52c048190952b4d0f430813a3 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6a5dd02588190abddfcb868259a38 |
completed | April 20, 2026, 10:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08acd907088190b1c261267381c3b8 |
completed | May 16, 2026, 5:43 p.m. |
| NEDg | Description generation | batch_6a08ae5320d08190b8ce6fbe4909af18 |
completed | May 16, 2026, 5:50 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08aed4a9908190bf7bd5f0147ff6f2 |
completed | May 16, 2026, 5:52 p.m. |
Created at: April 16, 2026, 11:38 a.m.