Triple

T16260812
Position Surface form Disambiguated ID Type / Status
Subject Bruhn E394748 entity
Predicate hasNotableBearer P458 FINISHED
Object Klaus Bruhn
Klaus Bruhn was a German Indologist and scholar of Jainism known for his influential research on Indian art, iconography, and religious history.
E1220674 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: Klaus Bruhn | Statement: [Bruhn, hasNotableBearer, Klaus Bruhn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Klaus Bruhn
Context triple: [Bruhn, hasNotableBearer, Klaus Bruhn]
  • A. Preben Elkjær
    Preben Elkjær is a renowned Danish former striker best known for his prolific goal-scoring with Hellas Verona and the Denmark national team during the 1980s.
  • B. Ole Hansen
    Ole Hansen is a Norwegian politician who served as Minister of Defence and was a prominent figure in early 20th-century Norwegian public life.
  • C. Flemming Christensen
    Flemming Christensen is a Danish former professional footballer and coach known for his career as a forward in Danish and European clubs.
  • D. Klaus Lange
    Klaus Lange is a German politician who served as a member of the Bundestag representing the Social Democratic Party (SPD).
  • E. Henrik Christensen
    Henrik Christensen is a prominent robotics researcher and academic known for his influential contributions to computer vision, autonomous systems, and robotics education.
  • 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: Klaus Bruhn
Triple: [Bruhn, hasNotableBearer, Klaus Bruhn]
Generated description
Klaus Bruhn was a German Indologist and scholar of Jainism known for his influential research on Indian art, iconography, and religious history.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Klaus Bruhn
Target entity description: Klaus Bruhn was a German Indologist and scholar of Jainism known for his influential research on Indian art, iconography, and religious history.
  • A. Preben Elkjær
    Preben Elkjær is a renowned Danish former striker best known for his prolific goal-scoring with Hellas Verona and the Denmark national team during the 1980s.
  • B. Ole Hansen
    Ole Hansen is a Norwegian politician who served as Minister of Defence and was a prominent figure in early 20th-century Norwegian public life.
  • C. Flemming Christensen
    Flemming Christensen is a Danish former professional footballer and coach known for his career as a forward in Danish and European clubs.
  • D. Klaus Lange
    Klaus Lange is a German politician who served as a member of the Bundestag representing the Social Democratic Party (SPD).
  • E. Henrik Christensen
    Henrik Christensen is a prominent robotics researcher and academic known for his influential contributions to computer vision, autonomous systems, and robotics education.
  • 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_69d87f221d8081909b0b2063e7528ba2 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e245c3e5388190942b0237ab5d1f0f completed April 17, 2026, 2:37 p.m.
NED1 Entity disambiguation (via context triple) batch_6a006ecc2b4c8190ac9654ac826f198e completed May 10, 2026, 11:41 a.m.
NEDg Description generation batch_6a006f9043b8819086143b2ec0cf1657 completed May 10, 2026, 11:44 a.m.
NED2 Entity disambiguation (via description) batch_6a00701fc1848190b3248a70b462eab1 completed May 10, 2026, 11:46 a.m.
Created at: April 10, 2026, 5:04 a.m.