Triple

T4234214
Position Surface form Disambiguated ID Type / Status
Subject Eintracht Frankfurt E94652 entity
Predicate manager P2962 FINISHED
Object Dino Toppmöller
Dino Toppmöller is a German football coach and former player known for managing top-flight clubs in the Bundesliga.
E422437 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: Dino Toppmöller | Statement: [Eintracht Frankfurt, manager, Dino Toppmöller]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dino Toppmöller
Context triple: [Eintracht Frankfurt, manager, Dino Toppmöller]
  • A. Karl Rammelt
    Karl Rammelt was a German Luftwaffe fighter ace of World War II, credited with numerous aerial victories on the Eastern Front.
  • B. Klaus Kiessler
    Klaus Kiessler is a German architect known for designing the main building of the Topography of Terror documentation center in Berlin.
  • C. Hannes Nikel
    Hannes Nikel was a German film editor known for his work on major German and international productions, including the war drama "Stalingrad" (1993).
  • D. Christoph Dolle
    Christoph Dolle is a German local politician who serves as the mayor of the town of Blomberg.
  • E. Dennis Weilmann
    Dennis Weilmann is a German politician who serves as the mayor of the city of Wolfsburg.
  • 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: Dino Toppmöller
Triple: [Eintracht Frankfurt, manager, Dino Toppmöller]
Generated description
Dino Toppmöller is a German football coach and former player known for managing top-flight clubs in the Bundesliga.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Dino Toppmöller
Target entity description: Dino Toppmöller is a German football coach and former player known for managing top-flight clubs in the Bundesliga.
  • A. Karl Rammelt
    Karl Rammelt was a German Luftwaffe fighter ace of World War II, credited with numerous aerial victories on the Eastern Front.
  • B. Klaus Kiessler
    Klaus Kiessler is a German architect known for designing the main building of the Topography of Terror documentation center in Berlin.
  • C. Hannes Nikel
    Hannes Nikel was a German film editor known for his work on major German and international productions, including the war drama "Stalingrad" (1993).
  • D. Christoph Dolle
    Christoph Dolle is a German local politician who serves as the mayor of the town of Blomberg.
  • E. Dennis Weilmann
    Dennis Weilmann is a German politician who serves as the mayor of the city of Wolfsburg.
  • 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_69b34537cc6481909cd0a96acbb33ef7 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b34e6705548190b695b3789d713b4a completed March 12, 2026, 11:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5965316588190ac1a963a5ecfcdaa completed March 14, 2026, 5:09 p.m.
NEDg Description generation batch_69b596b842648190a6f00c37e23e311f completed March 14, 2026, 5:11 p.m.
NED2 Entity disambiguation (via description) batch_69b59769936081908c42c0006b6ad9c3 completed March 14, 2026, 5:14 p.m.
Created at: March 12, 2026, 11:05 p.m.