Triple

T17735842
Position Surface form Disambiguated ID Type / Status
Subject KU Leuven E442712 entity
Predicate hasRector P325 FINISHED
Object Luc Sels
Luc Sels is a Belgian academic and economist who serves as the rector of KU Leuven, one of Europe’s leading research universities.
E1285441 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: Luc Sels | Statement: [KU Leuven, hasRector, Luc Sels]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Luc Sels
Context triple: [KU Leuven, hasRector, Luc Sels]
  • A. Jan-Christian Dreesen
    Jan-Christian Dreesen is a German football executive best known for serving as the chief executive officer of FC Bayern Munich.
  • B. Laurent Petitgand
    Laurent Petitgand is a French composer and musician known for his atmospheric film scores and frequent collaborations with director Wim Wenders.
  • C. Bruno Bosteels
    Bruno Bosteels is a Belgian philosopher and literary theorist known for his work on contemporary continental philosophy, Marxism, and critical theory, including extensive scholarship on Alain Badiou.
  • D. Wout Van Dessel
    Wout Van Dessel is a Belgian musician best known as a founding member and producer of the Eurodance group Sylver.
  • E. Henri Evenepoel
    Henri Evenepoel was a Belgian Post-Impressionist painter known for his innovative portraits and vibrant depictions of modern urban life in the late 19th 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: Luc Sels
Triple: [KU Leuven, hasRector, Luc Sels]
Generated description
Luc Sels is a Belgian academic and economist who serves as the rector of KU Leuven, one of Europe’s leading research universities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Luc Sels
Target entity description: Luc Sels is a Belgian academic and economist who serves as the rector of KU Leuven, one of Europe’s leading research universities.
  • A. Jan-Christian Dreesen
    Jan-Christian Dreesen is a German football executive best known for serving as the chief executive officer of FC Bayern Munich.
  • B. Laurent Petitgand
    Laurent Petitgand is a French composer and musician known for his atmospheric film scores and frequent collaborations with director Wim Wenders.
  • C. Bruno Bosteels
    Bruno Bosteels is a Belgian philosopher and literary theorist known for his work on contemporary continental philosophy, Marxism, and critical theory, including extensive scholarship on Alain Badiou.
  • D. Wout Van Dessel
    Wout Van Dessel is a Belgian musician best known as a founding member and producer of the Eurodance group Sylver.
  • E. Henri Evenepoel
    Henri Evenepoel was a Belgian Post-Impressionist painter known for his innovative portraits and vibrant depictions of modern urban life in the late 19th 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_69d8b9ed3a2081909b2ec0d4dd2f4c37 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e478eaff6c81909c7bd438b8c6c987 completed April 19, 2026, 6:40 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0242f965148190a7b76796546ab920 completed May 11, 2026, 8:58 p.m.
NEDg Description generation batch_6a02455730948190b1151d24f260d768 completed May 11, 2026, 9:08 p.m.
NED2 Entity disambiguation (via description) batch_6a0245c34d008190ae029000dc8e9cbc completed May 11, 2026, 9:10 p.m.
Created at: April 10, 2026, 10:08 a.m.