Triple

T8006172
Position Surface form Disambiguated ID Type / Status
Subject Naunhof E186368 entity
Predicate hasMayor P185 FINISHED
Object Sebastian Rick
Sebastian Rick is a German local politician serving as the mayor of the town of Naunhof in Saxony.
E705428 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: Sebastian Rick | Statement: [Naunhof, hasMayor, Sebastian Rick]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sebastian Rick
Context triple: [Naunhof, hasMayor, Sebastian Rick]
  • A. Sebastian Clement
    Sebastian Clement is a fictional character from Willa Cather’s novel "Lucy Gayheart," serving as a central figure in the protagonist’s emotional and artistic life.
  • B. Sebastian
    Sebastian is a masculine given name of Latin origin, commonly used in many European and English-speaking countries.
  • C. Sebastian
    Sebastian is a small coastal city in eastern Florida known for its riverfront location, access to the Indian River Lagoon, and proximity to the Sebastian Inlet and Atlantic beaches.
  • D. Sebastian Blunt
    Sebastian Blunt is a British actor and the brother of acclaimed actress Emily Blunt.
  • E. Sebastian Henshaw
    Sebastian Henshaw is a suave and skilled British intelligence agent who becomes entangled in a chaotic international espionage adventure in the action-comedy film "The Spy Who Dumped Me."
  • 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: Sebastian Rick
Triple: [Naunhof, hasMayor, Sebastian Rick]
Generated description
Sebastian Rick is a German local politician serving as the mayor of the town of Naunhof in Saxony.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Sebastian Rick
Target entity description: Sebastian Rick is a German local politician serving as the mayor of the town of Naunhof in Saxony.
  • A. Sebastian Clement
    Sebastian Clement is a fictional character from Willa Cather’s novel "Lucy Gayheart," serving as a central figure in the protagonist’s emotional and artistic life.
  • B. Sebastian
    Sebastian is a masculine given name of Latin origin, commonly used in many European and English-speaking countries.
  • C. Sebastian
    Sebastian is a small coastal city in eastern Florida known for its riverfront location, access to the Indian River Lagoon, and proximity to the Sebastian Inlet and Atlantic beaches.
  • D. Sebastian Blunt
    Sebastian Blunt is a British actor and the brother of acclaimed actress Emily Blunt.
  • E. Sebastian Henshaw
    Sebastian Henshaw is a suave and skilled British intelligence agent who becomes entangled in a chaotic international espionage adventure in the action-comedy film "The Spy Who Dumped Me."
  • 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_69ca82aaaf24819084b94d18f699ba53 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3cf72fc08190aa78b97c1ab92f90 completed March 31, 2026, 3:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69cbe12c068c8190a6ea7e924a7748c6 completed March 31, 2026, 2:58 p.m.
NEDg Description generation batch_69cc46c221848190848c7e017e532a16 completed March 31, 2026, 10:12 p.m.
NED2 Entity disambiguation (via description) batch_69cc480d2f40819085046a1d0c9d05e0 completed March 31, 2026, 10:17 p.m.
Created at: March 30, 2026, 5:18 p.m.