Triple

T11088738
Position Surface form Disambiguated ID Type / Status
Subject Chipo Chung E262190 entity
Predicate mother P120 FINISHED
Object Fay Chung E911456 NE FINISHED

How this triple was built (2 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, mother, Fay Chung]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fay Chung
Context triple: [Chipo Chung, mother, Fay Chung]
  • A. Fay Chung chosen
    Fay Chung is a Zimbabwean educator and former government minister known for her influential role in shaping post-independence education policy in Zimbabwe.
  • B. Yvonne Chu
    Yvonne Chu is the wife of Nobel Prize–winning physicist and former U.S. Secretary of Energy Steven Chu.
  • C. Fay Chang
    Fay Chang is a computer scientist known for co-authoring the influential Google Bigtable paper on large-scale distributed storage systems.
  • D. Vicky Chun
    Vicky Chun is a collegiate sports administrator best known for serving as the director of athletics at Yale University.
  • E. Vivian Chan
    Vivian Chan is a personal name shared by multiple individuals, including professionals in fields such as science, media, and business.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69e4acd76d20819089ed2ea2c22bc65d completed April 19, 2026, 10:22 a.m.
Created at: April 8, 2026, 9:27 p.m.