Triple

T11088737
Position Surface form Disambiguated ID Type / Status
Subject Chipo Chung E262190 entity
Predicate hasRelative P367 FINISHED
Object Fay Chung
Fay Chung is a Zimbabwean educator and former government minister known for her influential role in shaping post-independence education policy in Zimbabwe.
E911456 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: Fay Chung | Statement: [Chipo Chung, hasRelative, Fay Chung]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fay Chung
Context triple: [Chipo Chung, hasRelative, Fay Chung]
  • A. Yvonne Chu
    Yvonne Chu is the wife of Nobel Prize–winning physicist and former U.S. Secretary of Energy Steven Chu.
  • B. Fay Chang
    Fay Chang is a computer scientist known for co-authoring the influential Google Bigtable paper on large-scale distributed storage systems.
  • C. Vicky Chun
    Vicky Chun is a collegiate sports administrator best known for serving as the director of athletics at Yale University.
  • D. Vivian Chan
    Vivian Chan is a personal name shared by multiple individuals, including professionals in fields such as science, media, and business.
  • E. Chinsea Lee
    Chinsea Lee is a Jamaican dancehall and reggae artist and songwriter, better known by her stage name Shenseea, recognized for her energetic performances and genre-blending hits.
  • 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: Fay Chung
Triple: [Chipo Chung, hasRelative, Fay Chung]
Generated description
Fay Chung is a Zimbabwean educator and former government minister known for her influential role in shaping post-independence education policy in Zimbabwe.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Fay Chung
Target entity description: Fay Chung is a Zimbabwean educator and former government minister known for her influential role in shaping post-independence education policy in Zimbabwe.
  • A. Yvonne Chu
    Yvonne Chu is the wife of Nobel Prize–winning physicist and former U.S. Secretary of Energy Steven Chu.
  • B. Fay Chang
    Fay Chang is a computer scientist known for co-authoring the influential Google Bigtable paper on large-scale distributed storage systems.
  • C. Vicky Chun
    Vicky Chun is a collegiate sports administrator best known for serving as the director of athletics at Yale University.
  • D. Vivian Chan
    Vivian Chan is a personal name shared by multiple individuals, including professionals in fields such as science, media, and business.
  • E. Chinsea Lee
    Chinsea Lee is a Jamaican dancehall and reggae artist and songwriter, better known by her stage name Shenseea, recognized for her energetic performances and genre-blending hits.
  • 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_69d6aa9a40d88190a373e2c7e48285db completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d799e844b08190987c7c8e8d626510 completed April 9, 2026, 12:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69e496a593c4819090d295119ce50e48 completed April 19, 2026, 8:47 a.m.
NEDg Description generation batch_69e49c09844881908e0d95ba3f239024 completed April 19, 2026, 9:10 a.m.
NED2 Entity disambiguation (via description) batch_69e49e7f8b108190bb69f532adf25809 completed April 19, 2026, 9:21 a.m.
Created at: April 8, 2026, 9:27 p.m.