Triple

T11087266
Position Surface form Disambiguated ID Type / Status
Subject Jean Theodore Keteleer E262153 entity
Predicate hasFamilyName P18 FINISHED
Object Keteleer
Keteleer is a Belgian surname most notably associated with the 19th-century astronomer Jean Théodore Keteleer.
E904053 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: Keteleer | Statement: [Jean Theodore Keteleer, hasFamilyName, Keteleer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Keteleer
Context triple: [Jean Theodore Keteleer, hasFamilyName, Keteleer]
  • A. Keteleeria
    Keteleeria is a small genus of evergreen coniferous trees native to East and Southeast Asia, known for their tall stature and resemblance to firs and spruces.
  • B. Kesbewa
    Kesbewa is a suburban town in Sri Lanka’s Western Province, situated within the greater Colombo metropolitan area.
  • C. Khanke
    Khanke is a village in northern Iraq’s Kurdistan Region, known for hosting large camps for internally displaced Yazidis who fled ISIS violence.
  • D. Klaaswaal
    Klaaswaal is a village in the Dutch province of South Holland, known for its rural character and location on the island of Hoeksche Waard.
  • E. Kabaena
    Kabaena is an island in Indonesia known for its location off the coast of Sulawesi and its mix of coastal and hilly landscapes.
  • 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: Keteleer
Triple: [Jean Theodore Keteleer, hasFamilyName, Keteleer]
Generated description
Keteleer is a Belgian surname most notably associated with the 19th-century astronomer Jean Théodore Keteleer.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Keteleer
Target entity description: Keteleer is a Belgian surname most notably associated with the 19th-century astronomer Jean Théodore Keteleer.
  • A. Keteleeria
    Keteleeria is a small genus of evergreen coniferous trees native to East and Southeast Asia, known for their tall stature and resemblance to firs and spruces.
  • B. Kesbewa
    Kesbewa is a suburban town in Sri Lanka’s Western Province, situated within the greater Colombo metropolitan area.
  • C. Khanke
    Khanke is a village in northern Iraq’s Kurdistan Region, known for hosting large camps for internally displaced Yazidis who fled ISIS violence.
  • D. Klaaswaal
    Klaaswaal is a village in the Dutch province of South Holland, known for its rural character and location on the island of Hoeksche Waard.
  • E. Kabaena
    Kabaena is an island in Indonesia known for its location off the coast of Sulawesi and its mix of coastal and hilly landscapes.
  • 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_69d6aa9983c08190b0ef61603b69feac completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d799c5008081908f59612243fa4f7a completed April 9, 2026, 12:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69e3e7a6dfa8819096f822294eb64dd1 completed April 18, 2026, 8:20 p.m.
NEDg Description generation batch_69e3f2cafc008190a3504999297f1e4e completed April 18, 2026, 9:08 p.m.
NED2 Entity disambiguation (via description) batch_69e3f488819081908f9a4225279cde6b completed April 18, 2026, 9:15 p.m.
Created at: April 8, 2026, 9:27 p.m.