Triple
T5310165
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zülicke |
E119003
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object | Lutz Zülicke |
E19654
|
NE FINISHED |
How this triple was built (2 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: Lutz Zülicke | Statement: [Zülicke, hasNotableBearer, Lutz Zülicke]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lutz Zülicke Context triple: [Zülicke, hasNotableBearer, Lutz Zülicke]
-
A.
Lutz Zülicke
chosen
Lutz Zülicke is a German physicist and academic best known for supervising Angela Merkel’s doctoral research in quantum chemistry.
-
B.
Jürgen Büscher
Jürgen Büscher is a screenwriter best known for co-writing the 1993 German war film "Stalingrad."
-
C.
Jochen Kuttler
Jochen Kuttler is a German local politician who serves as the mayor of the town of Wadern in Saarland.
-
D.
Andreas Hügerich
Andreas Hügerich is a German local politician who serves as the mayor of the town of Lichtenfels in Bavaria.
-
E.
Uwe Schlaich
Uwe Schlaich is a German architect known for designing the main building of the Topography of Terror documentation center in Berlin.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69bd446b57bc8190a513d2e6c40314f3 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd85343ae08190bd9801ea4eac7003 |
completed | March 20, 2026, 5:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c097af51508190a1eb69f188a7dcb6 |
completed | March 23, 2026, 1:30 a.m. |
Created at: March 20, 2026, 1:53 p.m.