Triple

T4523799
Position Surface form Disambiguated ID Type / Status
Subject Kader Asmal E103327 entity
Predicate spouse P13 FINISHED
Object Louise Asmal
Louise Asmal is a South African human-rights activist and academic, known for her work alongside her husband Kader Asmal in the anti-apartheid movement and in legal education.
E453083 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: Louise Asmal | Statement: [Kader Asmal, spouse, Louise Asmal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Louise Asmal
Context triple: [Kader Asmal, spouse, Louise Asmal]
  • A. Helen Humes
    Helen Humes was an American jazz and blues singer known for her work with Count Basie’s orchestra and her versatile, swinging vocal style.
  • B. Helen Melland
    Helen Melland was the wife of British Prime Minister Herbert Henry Asquith and a member of the English upper-middle class in the late 19th century.
  • C. Eve Barham
    Eve Barham was a British doctor and the first wife of evolutionary biologist Richard Dawkins.
  • D. Barbara Leeds
    Barbara Leeds was an American actress best known for her film and television work in the mid-20th century.
  • E. Carole Eastman
    Carole Eastman was an American screenwriter best known for her incisive character-driven work in 1970s New Hollywood cinema, including the film "Five Easy Pieces."
  • 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: Louise Asmal
Triple: [Kader Asmal, spouse, Louise Asmal]
Generated description
Louise Asmal is a South African human-rights activist and academic, known for her work alongside her husband Kader Asmal in the anti-apartheid movement and in legal education.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Louise Asmal
Target entity description: Louise Asmal is a South African human-rights activist and academic, known for her work alongside her husband Kader Asmal in the anti-apartheid movement and in legal education.
  • A. Helen Humes
    Helen Humes was an American jazz and blues singer known for her work with Count Basie’s orchestra and her versatile, swinging vocal style.
  • B. Helen Melland
    Helen Melland was the wife of British Prime Minister Herbert Henry Asquith and a member of the English upper-middle class in the late 19th century.
  • C. Eve Barham
    Eve Barham was a British doctor and the first wife of evolutionary biologist Richard Dawkins.
  • D. Barbara Leeds
    Barbara Leeds was an American actress best known for her film and television work in the mid-20th century.
  • E. Carole Eastman
    Carole Eastman was an American screenwriter best known for her incisive character-driven work in 1970s New Hollywood cinema, including the film "Five Easy Pieces."
  • 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_69bd43dba59881908cf59b31df8c7ae1 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd5773341c8190bf27745feb863575 completed March 20, 2026, 2:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdc55254848190940c506e75d79933 completed March 20, 2026, 10:08 p.m.
NEDg Description generation batch_69bdc8eea638819080c255769a66d651 completed March 20, 2026, 10:23 p.m.
NED2 Entity disambiguation (via description) batch_69bdc96926288190b7a922adf15098f4 completed March 20, 2026, 10:25 p.m.
Created at: March 20, 2026, 1:03 p.m.