Triple

T3542809
Position Surface form Disambiguated ID Type / Status
Subject Jennifer Doudna E74925 entity
Predicate familyName P18 FINISHED
Object Doudna E74925 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: Doudna | Statement: [Jennifer Doudna, familyName, Doudna]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Doudna
Context triple: [Jennifer Doudna, familyName, Doudna]
  • A. Jennifer Doudna chosen
    Jennifer Doudna is an American biochemist best known as a co-inventor of the CRISPR-Cas9 genome-editing technology, which has revolutionized genetic research and biotechnology.
  • B. Emmanuelle Charpentier
    Emmanuelle Charpentier is a French microbiologist and geneticist best known as a co-developer of the CRISPR-Cas9 genome-editing technology, for which she received numerous prestigious scientific awards.
  • C. George Church
    George Church was a stage actor known for his role in the original Broadway production of the musical "Oklahoma!".
  • D. George Church
    George Church is an American geneticist and molecular engineer known for his pioneering work in genome sequencing, CRISPR gene editing, and synthetic biology.
  • E. Venki Ramakrishnan
    Venki Ramakrishnan is a Nobel Prize–winning structural biologist renowned for his pioneering work on the structure and function of the ribosome.
  • 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_69ad85d274cc8190ab59c97298a1cfbf completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbf752dd481909226044ffe595338 completed March 8, 2026, 6:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69b3bb8ec8948190a0ae799ad20f42b3 completed March 13, 2026, 7:23 a.m.
Created at: March 8, 2026, 3:20 p.m.