Triple

T6708918
Position Surface form Disambiguated ID Type / Status
Subject Mannheim E153078 entity
Predicate hasMayor P185 FINISHED
Object Christian Specht
Christian Specht is a German politician who serves as the mayor of the city of Mannheim.
 E628293 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: Christian Specht | Statement: [Mannheim, hasMayor, Christian Specht]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Christian Specht
Context triple: [Mannheim, hasMayor, Christian Specht]
  • A. Christian Roth
    Christian Roth was a mountaineer known for participating in the first recorded ascent of Shkhara, one of the highest peaks in the Caucasus.
  • B. Peter Vinnemeier
    Peter Vinnemeier is a German entrepreneur best known as a co-founder of the global hotel search and price comparison platform Trivago.
  • C. Christopher Scholz
    Christopher Scholz is a prominent geophysicist renowned for his influential work on the mechanics of earthquakes and faulting.
  • D. Peter Riegert
    Peter Riegert is an American actor and director known for his roles in films such as "Animal House," "Local Hero," and "The Mask," as well as numerous television appearances.
  • E. Paul Knabenshue
    Paul Knabenshue was an American diplomat best known for serving as the first U.S. Ambassador to Iraq in the early 20th century.
  • 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: Christian Specht
Triple: [Mannheim, hasMayor, Christian Specht]
Generated description
Christian Specht is a German politician who serves as the mayor of the city of Mannheim.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Christian Specht
Target entity description: Christian Specht is a German politician who serves as the mayor of the city of Mannheim.
  • A. Christian Roth
    Christian Roth was a mountaineer known for participating in the first recorded ascent of Shkhara, one of the highest peaks in the Caucasus.
  • B. Peter Vinnemeier
    Peter Vinnemeier is a German entrepreneur best known as a co-founder of the global hotel search and price comparison platform Trivago.
  • C. Christopher Scholz
    Christopher Scholz is a prominent geophysicist renowned for his influential work on the mechanics of earthquakes and faulting.
  • D. Peter Riegert
    Peter Riegert is an American actor and director known for his roles in films such as "Animal House," "Local Hero," and "The Mask," as well as numerous television appearances.
  • E. Paul Knabenshue
    Paul Knabenshue was an American diplomat best known for serving as the first U.S. Ambassador to Iraq in the early 20th century.
  • 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_69c68808d8d8819087369015270788fe completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d105b49c8190932246a727e2c513 completed March 27, 2026, 6:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69c751088fc08190abc2eacfb95867f3 completed March 28, 2026, 3:54 a.m.
NEDg Description generation batch_69c751cf1ad081909052e68b8eb96889 completed March 28, 2026, 3:58 a.m.
NED2 Entity disambiguation (via description) batch_69c7524fd1988190b82ed3a6c5f338a5 completed March 28, 2026, 4 a.m.
Created at: March 27, 2026, 2:06 p.m.