Triple
T14578080
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michael Hainisch |
E342110
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Hainisch
Hainisch is an Austrian surname most notably borne by Michael Hainisch, who served as President of Austria in the early 20th century.
|
E1105866
|
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: Hainisch | Statement: [Michael Hainisch, familyName, Hainisch]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hainisch Context triple: [Michael Hainisch, familyName, Hainisch]
-
A.
Hachen
Hachen is a district (Ortsteil) of the town of Sundern in the Hochsauerland region of North Rhine-Westphalia, Germany.
-
B.
Hainichen
Hainichen is a small town in the Free State of Saxony in eastern Germany, known for its historical architecture and location between the cities of Chemnitz and Dresden.
-
C.
Hirschstein
Hirschstein is a small municipality in the German state of Saxony, situated within the broader Leipzig metropolitan region.
-
D.
Langhanke
Langhanke is the original German family surname of American actress Mary Astor, who was born Lucile Vasconcellos Langhanke.
-
E.
Böhmisch Aicha
Böhmisch Aicha is a historical town in the Bohemian region of Central Europe, now known as Česká Lípa in the Czech Republic.
- 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: Hainisch Triple: [Michael Hainisch, familyName, Hainisch]
Generated description
Hainisch is an Austrian surname most notably borne by Michael Hainisch, who served as President of Austria in the early 20th century.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hainisch Target entity description: Hainisch is an Austrian surname most notably borne by Michael Hainisch, who served as President of Austria in the early 20th century.
-
A.
Hachen
Hachen is a district (Ortsteil) of the town of Sundern in the Hochsauerland region of North Rhine-Westphalia, Germany.
-
B.
Hainichen
Hainichen is a small town in the Free State of Saxony in eastern Germany, known for its historical architecture and location between the cities of Chemnitz and Dresden.
-
C.
Hirschstein
Hirschstein is a small municipality in the German state of Saxony, situated within the broader Leipzig metropolitan region.
-
D.
Langhanke
Langhanke is the original German family surname of American actress Mary Astor, who was born Lucile Vasconcellos Langhanke.
-
E.
Böhmisch Aicha
Böhmisch Aicha is a historical town in the Bohemian region of Central Europe, now known as Česká Lípa in the Czech Republic.
- 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_69d822dcc6248190bed689984bceb0e2 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb3f5ec448190b2ef887fdf7b633e |
completed | April 14, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd8ad03e7881908a783182c6d656b5 |
completed | May 8, 2026, 7:03 a.m. |
| NEDg | Description generation | batch_69fd8c278e8481909465972b32ad6c28 |
completed | May 8, 2026, 7:09 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd8ca921108190943eb948f9af6123 |
completed | May 8, 2026, 7:11 a.m. |
Created at: April 10, 2026, 1:24 a.m.