Triple
T12677897
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Landshut |
E302865
|
entity |
| Predicate | hasMayor |
P185
|
FINISHED |
| Object |
Alexander Putz
Alexander Putz is a German politician who serves as the mayor of the Bavarian city of Landshut.
|
E996741
|
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: Alexander Putz | Statement: [Landshut, hasMayor, Alexander Putz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alexander Putz Context triple: [Landshut, hasMayor, Alexander Putz]
-
A.
Alexander Witt
Alexander Witt is a Chilean-born cinematographer and second unit director known for his work on major Hollywood action and thriller films.
-
B.
Rolf Sattler
Rolf Sattler is a Canadian plant morphologist and theoretical biologist known for his work on plant structure, process morphology, and the philosophy of biology.
-
C.
Matthias Ettrich
Matthias Ettrich is a German software engineer best known for founding the KDE project, one of the major free and open-source desktop environments for Unix-like systems.
-
D.
Alexander Zuntz
Alexander Zuntz was an early New York financier and broker who was among the founding figures of what became the New York Stock Exchange.
-
E.
Markus Morgenstern
Markus Morgenstern is a mathematician known for his contributions to combinatorics and graph theory.
- 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: Alexander Putz Triple: [Landshut, hasMayor, Alexander Putz]
Generated description
Alexander Putz is a German politician who serves as the mayor of the Bavarian city of Landshut.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Alexander Putz Target entity description: Alexander Putz is a German politician who serves as the mayor of the Bavarian city of Landshut.
-
A.
Alexander Witt
Alexander Witt is a Chilean-born cinematographer and second unit director known for his work on major Hollywood action and thriller films.
-
B.
Rolf Sattler
Rolf Sattler is a Canadian plant morphologist and theoretical biologist known for his work on plant structure, process morphology, and the philosophy of biology.
-
C.
Matthias Ettrich
Matthias Ettrich is a German software engineer best known for founding the KDE project, one of the major free and open-source desktop environments for Unix-like systems.
-
D.
Alexander Zuntz
Alexander Zuntz was an early New York financier and broker who was among the founding figures of what became the New York Stock Exchange.
-
E.
Markus Morgenstern
Markus Morgenstern is a mathematician known for his contributions to combinatorics and graph theory.
- 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_69d7bdee64a08190801c6d470aefd723 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d961b1dff48190923290555ece5d89 |
completed | April 10, 2026, 8:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f671a341288190822fae2469efea09 |
completed | May 2, 2026, 9:50 p.m. |
| NEDg | Description generation | batch_69f672ac07908190bd2dfe90d55a13c1 |
completed | May 2, 2026, 9:54 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f67360b530819085d5db2aa0b7513d |
completed | May 2, 2026, 9:57 p.m. |
Created at: April 9, 2026, 5:20 p.m.