Triple

T19376761
Position Surface form Disambiguated ID Type / Status
Subject He Jiankui E484689 entity
Predicate name P16 FINISHED
Object He Jiankui NE NERFINISHED

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: He Jiankui | Statement: [He Jiankui, name, He Jiankui]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: He Jiankui
Context triple: [He Jiankui, name, He Jiankui]
  • A. He Jiankui chosen
    He Jiankui is a Chinese biophysicist widely known for creating the first gene-edited babies using CRISPR, a move that sparked global ethical controversy and led to his imprisonment in China.
  • B. Feng Zhang
    Feng Zhang is a pioneering biochemist and molecular biologist known for his foundational contributions to the development and application of CRISPR-based genome editing technologies.
  • C. Yi Zhang
    Yi Zhang is a mathematician known for coauthoring research with logician J. Donald Monk, particularly in areas related to mathematical logic and set theory.
  • D. Langche Zeng
    Langche Zeng is a political scientist and quantitative methodologist known for his collaborative work with Gary King on statistical methods in social science research.
  • E. Pan Jianwei
    Pan Jianwei is a leading Chinese quantum physicist renowned for his pioneering work in quantum communication and quantum computing.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e8d460d88190abf0591c5c9d2b0c completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e61a5cfbf48190ac60e3ffa6baa263 completed April 20, 2026, 12:21 p.m.
Created at: April 10, 2026, 1:35 p.m.