Triple

T1961120
Position Surface form Disambiguated ID Type / Status
Subject Gene Amdahl E42388 entity
Predicate givenName P17 FINISHED
Object Gene E177675 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: Gene | Statement: [Gene Amdahl, givenName, Gene]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gene
Context triple: [Gene Amdahl, givenName, Gene]
  • A. Geneta
    Geneta is a residential district and suburb within Södertälje Municipality in Sweden.
  • B. DNA
    DNA is a major social-democratic political party in Norway, historically one of the country’s dominant governing parties.
  • C. Geno chosen
    Geno is the widely used nickname of Hall of Fame University of Connecticut women's basketball coach Geno Auriemma.
  • D. Protogeneia
    Protogeneia is a figure in Greek mythology, traditionally regarded as the daughter of Deucalion and Pyrrha and associated with the earliest generations of humankind after the great flood.
  • E. 23andMe
    23andMe is a personal genomics and biotechnology company best known for providing direct-to-consumer DNA testing and ancestry analysis services.
  • 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_69a8870eea088190a38781990812a9bc completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb380bfc08190ae80f8e6570494b8 completed March 7, 2026, 5:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69adfbcea048819091d705095f0d3f68 completed March 8, 2026, 10:44 p.m.
Created at: March 4, 2026, 7:36 p.m.