Triple
T14696349
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lianne |
E345172
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Neudecker
Neudecker is a German-origin surname borne by various individuals, including contemporary figures such as artist Lianne Neudecker.
|
E1114137
|
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: Neudecker | Statement: [Lianne, familyName, Neudecker]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Neudecker Context triple: [Lianne, familyName, Neudecker]
-
A.
Neudeck
Neudeck is a village in former East Prussia (now Ogrodzieniec in Poland) historically known as the family estate and place of death of German President and World War I field marshal Paul von Hindenburg.
-
B.
Werneck
Werneck is a market town in the Schweinfurt district of northern Bavaria, Germany, known for its baroque palace and surrounding rural landscape.
-
C.
Decker
Decker is a middle name borne by Ellnora Decker Krannert, an American philanthropist known for her support of the arts and education.
-
D.
Dudek
Dudek is a Polish surname borne by various notable individuals, including figures in sports, arts, and public life.
-
E.
Zerbe
Zerbe is a surname of German origin borne by various notable individuals, including American actor Anthony Zerbe.
- 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: Neudecker Triple: [Lianne, familyName, Neudecker]
Generated description
Neudecker is a German-origin surname borne by various individuals, including contemporary figures such as artist Lianne Neudecker.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Neudecker Target entity description: Neudecker is a German-origin surname borne by various individuals, including contemporary figures such as artist Lianne Neudecker.
-
A.
Neudeck
Neudeck is a village in former East Prussia (now Ogrodzieniec in Poland) historically known as the family estate and place of death of German President and World War I field marshal Paul von Hindenburg.
-
B.
Werneck
Werneck is a market town in the Schweinfurt district of northern Bavaria, Germany, known for its baroque palace and surrounding rural landscape.
-
C.
Decker
Decker is a middle name borne by Ellnora Decker Krannert, an American philanthropist known for her support of the arts and education.
-
D.
Dudek
Dudek is a Polish surname borne by various notable individuals, including figures in sports, arts, and public life.
-
E.
Zerbe
Zerbe is a surname of German origin borne by various notable individuals, including American actor Anthony Zerbe.
- 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_69d822e4a8c08190a155df736bb7bc13 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb58855e081908b38f9515db5677f |
completed | April 14, 2026, 9:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fde18e279c8190814f90e947734541 |
completed | May 8, 2026, 1:13 p.m. |
| NEDg | Description generation | batch_69fde259ea5881909d48031a183ca614 |
completed | May 8, 2026, 1:17 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fde2d0445881908b17fc24369ee90f |
completed | May 8, 2026, 1:19 p.m. |
Created at: April 10, 2026, 1:28 a.m.