Triple

T17424222
Position Surface form Disambiguated ID Type / Status
Subject Crailsheim E423694 entity
Predicate hasMayor P185 FINISHED
Object Jens Metzger
Jens Metzger is a German local politician who serves as the mayor of the town of Crailsheim in the state of Baden-Württemberg.
E1309907 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: Jens Metzger | Statement: [Crailsheim, hasMayor, Jens Metzger]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jens Metzger
Context triple: [Crailsheim, hasMayor, Jens Metzger]
  • A. Stefan Metzger
    Stefan Metzger is a notable individual recognized as a prominent bearer of the Metzger surname.
  • B. Hannes Messemer
    Hannes Messemer was a German actor best known for his roles in postwar European cinema, particularly in war and drama films.
  • C. Jens Matthies
    Jens Matthies is a video game director best known for leading the development of the acclaimed first-person shooter Wolfenstein: The New Order.
  • D. Karsten Mußler
    Karsten Mußler is a German local politician who serves as the mayor of the town of Kuppenheim in Baden-Württemberg.
  • E. Jens Beckert
    Jens Beckert is a German sociologist renowned for his work on economic sociology, particularly the role of expectations and uncertainty in markets.
  • 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: Jens Metzger
Triple: [Crailsheim, hasMayor, Jens Metzger]
Generated description
Jens Metzger is a German local politician who serves as the mayor of the town of Crailsheim in the state of Baden-Württemberg.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Jens Metzger
Target entity description: Jens Metzger is a German local politician who serves as the mayor of the town of Crailsheim in the state of Baden-Württemberg.
  • A. Stefan Metzger
    Stefan Metzger is a notable individual recognized as a prominent bearer of the Metzger surname.
  • B. Hannes Messemer
    Hannes Messemer was a German actor best known for his roles in postwar European cinema, particularly in war and drama films.
  • C. Jens Matthies
    Jens Matthies is a video game director best known for leading the development of the acclaimed first-person shooter Wolfenstein: The New Order.
  • D. Karsten Mußler
    Karsten Mußler is a German local politician who serves as the mayor of the town of Kuppenheim in Baden-Württemberg.
  • E. Jens Beckert
    Jens Beckert is a German sociologist renowned for his work on economic sociology, particularly the role of expectations and uncertainty in markets.
  • 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_69d889d88b6081908bada047f5b3ba51 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e4423999ac81909fdbd8bcffcb30c9 completed April 19, 2026, 2:47 a.m.
NED1 Entity disambiguation (via context triple) batch_6a038f9f8e088190b72b9124b0fc82de completed May 12, 2026, 8:37 p.m.
NEDg Description generation batch_6a0390f74f10819092abd35c20ae8bda completed May 12, 2026, 8:43 p.m.
NED2 Entity disambiguation (via description) batch_6a0392d99fd48190a71d937bdfeb512c completed May 12, 2026, 8:51 p.m.
Created at: April 10, 2026, 5:46 a.m.