Triple

T5332539
Position Surface form Disambiguated ID Type / Status
Subject Sassnitz E123342 entity
Predicate hasMayor P185 FINISHED
Object Frank Kracht
Frank Kracht is a German local politician who serves as the mayor of the Baltic Sea town of Sassnitz.
E518223 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: Frank Kracht | Statement: [Sassnitz, hasMayor, Frank Kracht]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Frank Kracht
Context triple: [Sassnitz, hasMayor, Frank Kracht]
  • A. Jochen Nickel
    Jochen Nickel is a German actor known for his character roles in films and television, including appearances in notable World War II dramas.
  • B. Jochen Hecht
    Jochen Hecht is a German former professional ice hockey forward who enjoyed a long NHL career, notably with the Buffalo Sabres, and represented Germany in multiple international tournaments.
  • C. Jochen Kuttler
    Jochen Kuttler is a German local politician who serves as the mayor of the town of Wadern in Saarland.
  • D. Ulrich Kleemann
    Ulrich Kleemann was a German Wehrmacht general during World War II who commanded armored and light divisions, including units deployed in North Africa.
  • E. Ralf Reinhardt
    Ralf Reinhardt is a German local politician who serves as the mayor of the town of Neuruppin in Brandenburg.
  • 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: Frank Kracht
Triple: [Sassnitz, hasMayor, Frank Kracht]
Generated description
Frank Kracht is a German local politician who serves as the mayor of the Baltic Sea town of Sassnitz.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Frank Kracht
Target entity description: Frank Kracht is a German local politician who serves as the mayor of the Baltic Sea town of Sassnitz.
  • A. Jochen Nickel
    Jochen Nickel is a German actor known for his character roles in films and television, including appearances in notable World War II dramas.
  • B. Jochen Hecht
    Jochen Hecht is a German former professional ice hockey forward who enjoyed a long NHL career, notably with the Buffalo Sabres, and represented Germany in multiple international tournaments.
  • C. Jochen Kuttler
    Jochen Kuttler is a German local politician who serves as the mayor of the town of Wadern in Saarland.
  • D. Ulrich Kleemann
    Ulrich Kleemann was a German Wehrmacht general during World War II who commanded armored and light divisions, including units deployed in North Africa.
  • E. Ralf Reinhardt
    Ralf Reinhardt is a German local politician who serves as the mayor of the town of Neuruppin in Brandenburg.
  • 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_69bd46477f9081909d242a327d749466 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd85aab0308190990626cbc9da3e21 completed March 20, 2026, 5:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf3a8f29488190b7c622a260319328 completed March 22, 2026, 12:40 a.m.
NEDg Description generation batch_69bf3b3a651c81908dc3a4ca76e0699d completed March 22, 2026, 12:43 a.m.
NED2 Entity disambiguation (via description) batch_69bf3b9a2f78819093ab11fddaed71c3 completed March 22, 2026, 12:45 a.m.
Created at: March 20, 2026, 2 p.m.