Triple

T2041898
Position Surface form Disambiguated ID Type / Status
Subject Leo Genn E44763 entity
Predicate familyName P18 FINISHED
Object Genn
Genn is a surname most notably associated with British actor and barrister Leo Genn.
E228114 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: Genn | Statement: [Leo Genn, familyName, Genn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Genn
Context triple: [Leo Genn, familyName, Genn]
  • A. Geno
    Geno is the widely used nickname of Hall of Fame University of Connecticut women's basketball coach Geno Auriemma.
  • B. Geneta
    Geneta is a residential district and suburb within Södertälje Municipality in Sweden.
  • C. Ger
    Ger is a prominent Hasidic dynasty, originating in Góra Kalwaria, Poland, known for its large following and significant influence within the Haredi Jewish world.
  • D. Gad
    Gad is a biblical figure, one of the twelve sons of Jacob and the founder of the Israelite tribe that bears his name.
  • E. Gan
    Gan is a common abbreviated name and historical-cultural designation for Jiangxi Province in southeastern China.
  • 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: Genn
Triple: [Leo Genn, familyName, Genn]
Generated description
Genn is a surname most notably associated with British actor and barrister Leo Genn.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Genn
Target entity description: Genn is a surname most notably associated with British actor and barrister Leo Genn.
  • A. Geno
    Geno is the widely used nickname of Hall of Fame University of Connecticut women's basketball coach Geno Auriemma.
  • B. Geneta
    Geneta is a residential district and suburb within Södertälje Municipality in Sweden.
  • C. Ger
    Ger is a prominent Hasidic dynasty, originating in Góra Kalwaria, Poland, known for its large following and significant influence within the Haredi Jewish world.
  • D. Gad
    Gad is a biblical figure, one of the twelve sons of Jacob and the founder of the Israelite tribe that bears his name.
  • E. Gan
    Gan is a common abbreviated name and historical-cultural designation for Jiangxi Province in southeastern China.
  • 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_69a889159ec481908f9e4472d9f480c7 completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abb95587348190bb5719faeaf0aa5d completed March 7, 2026, 5:36 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae1ffbbf948190a89932013b463f85 completed March 9, 2026, 1:18 a.m.
NEDg Description generation batch_69ae20946a288190a3bd2a19e3608e86 completed March 9, 2026, 1:21 a.m.
NED2 Entity disambiguation (via description) batch_69ae2109d17c819094a298a822064052 completed March 9, 2026, 1:23 a.m.
Created at: March 4, 2026, 7:39 p.m.