Triple
T14815416
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dirk Wilutzky |
E348299
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Wilutzky
Wilutzky is a German surname most notably borne by film producer and director Dirk Wilutzky.
|
E1122410
|
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: Wilutzky | Statement: [Dirk Wilutzky, familyName, Wilutzky]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wilutzky Context triple: [Dirk Wilutzky, familyName, Wilutzky]
-
A.
Nitzschka
Nitzschka is a village and district of the town of Wurzen in the Free State of Saxony, Germany.
-
B.
Wallach
Wallach is a surname and given name of Germanic origin, historically associated with Central and Eastern Europe and borne by various notable figures in arts, science, and public life.
-
C.
Mrugowsky
Mrugowsky is a German surname most notably associated with Joachim Mrugowsky, an SS officer and physician involved in Nazi human experimentation during World War II.
-
D.
Zaslofsky
Zaslofsky is a surname most notably associated with Max Zaslofsky, an early star guard in the National Basketball Association.
-
E.
Witos
Witos is a Polish surname most notably borne by Wincenty Witos, a prominent early 20th-century Polish politician and three-time Prime Minister.
- 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: Wilutzky Triple: [Dirk Wilutzky, familyName, Wilutzky]
Generated description
Wilutzky is a German surname most notably borne by film producer and director Dirk Wilutzky.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Wilutzky Target entity description: Wilutzky is a German surname most notably borne by film producer and director Dirk Wilutzky.
-
A.
Nitzschka
Nitzschka is a village and district of the town of Wurzen in the Free State of Saxony, Germany.
-
B.
Wallach
Wallach is a surname and given name of Germanic origin, historically associated with Central and Eastern Europe and borne by various notable figures in arts, science, and public life.
-
C.
Mrugowsky
Mrugowsky is a German surname most notably associated with Joachim Mrugowsky, an SS officer and physician involved in Nazi human experimentation during World War II.
-
D.
Zaslofsky
Zaslofsky is a surname most notably associated with Max Zaslofsky, an early star guard in the National Basketball Association.
-
E.
Witos
Witos is a Polish surname most notably borne by Wincenty Witos, a prominent early 20th-century Polish politician and three-time Prime Minister.
- 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_69d822eb8f588190bf53445e730a934f |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69decfe0e89c81908c0e1fe2bc3ebcfc |
completed | April 14, 2026, 11:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe389598848190ba15e6eea2ba2903 |
completed | May 8, 2026, 7:25 p.m. |
| NEDg | Description generation | batch_69fe3a104b508190aeb51059b6f67c5f |
completed | May 8, 2026, 7:31 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe3add5b48819088607fe01fb4a9b6 |
completed | May 8, 2026, 7:34 p.m. |
Created at: April 10, 2026, 1:49 a.m.