Triple
T19165017
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zerbst |
E469155
|
entity |
| Predicate | demonym |
P191
|
FINISHED |
| Object |
Zerbster
A Zerbster is a resident or native of the town of Zerbst in Saxony-Anhalt, Germany.
|
E1361419
|
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: Zerbster | Statement: [Zerbst, demonym, Zerbster]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zerbster Context triple: [Zerbst, demonym, Zerbster]
-
A.
Zedde
Zedde is a small settlement located in the Dutch municipality of Waterland in the province of North Holland.
-
B.
Zardoz
Zardoz is a 1974 science fiction film directed by John Boorman, known for its surreal, dystopian vision and starring Sean Connery in one of his most unconventional roles.
-
C.
Zazas
The Zazas are an Iranian ethnic group primarily inhabiting eastern Turkey, known for speaking the Zaza (Dimili) language and maintaining distinct cultural traditions.
-
D.
Tozzer
Tozzer is a surname most notably associated with Alfred Marston Tozzer, an American anthropologist and archaeologist known for his pioneering work on Mayan civilization.
-
E.
Zuiker
Zuiker is the surname of Anthony E. Zuiker, the American television writer and producer best known as the creator of the CSI franchise.
- 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: Zerbster Triple: [Zerbst, demonym, Zerbster]
Generated description
A Zerbster is a resident or native of the town of Zerbst in Saxony-Anhalt, Germany.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Zerbster Target entity description: A Zerbster is a resident or native of the town of Zerbst in Saxony-Anhalt, Germany.
-
A.
Zedde
Zedde is a small settlement located in the Dutch municipality of Waterland in the province of North Holland.
-
B.
Zardoz
Zardoz is a 1974 science fiction film directed by John Boorman, known for its surreal, dystopian vision and starring Sean Connery in one of his most unconventional roles.
-
C.
Zazas
The Zazas are an Iranian ethnic group primarily inhabiting eastern Turkey, known for speaking the Zaza (Dimili) language and maintaining distinct cultural traditions.
-
D.
Tozzer
Tozzer is a surname most notably associated with Alfred Marston Tozzer, an American anthropologist and archaeologist known for his pioneering work on Mayan civilization.
-
E.
Zuiker
Zuiker is the surname of Anthony E. Zuiker, the American television writer and producer best known as the creator of the CSI franchise.
- 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_69d8dd09d5a081909ae43c286651ae5a |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5f15e2720819084b1707497db26a2 |
completed | April 20, 2026, 9:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a06f25ef2208190842d2b29bee2c8ce |
completed | May 15, 2026, 10:15 a.m. |
| NEDg | Description generation | batch_6a06f3864b848190bcc76953e1a261f3 |
completed | May 15, 2026, 10:20 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a06f4199a588190943d3d45536a228c |
completed | May 15, 2026, 10:23 a.m. |
Created at: April 10, 2026, 12:06 p.m.