Triple

T23468577
Position Surface form Disambiguated ID Type / Status
Subject Gene Mauch E569163 entity
Predicate givenName P17 FINISHED
Object Gene 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: Gene | Statement: [Gene Mauch, givenName, Gene]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gene
Context triple: [Gene Mauch, givenName, Gene]
  • A. Gene chosen
    Gene is the given name of No Malice, the American rapper best known as one half of the hip hop duo Clipse.
  • B. Gene
    Gene is a widely used public database that provides comprehensive information on genes, including their sequences, functions, and related genomic data.
  • C. Gene
    Gene is a character from the 1986 fantasy drama film "The Boy Who Could Fly," which centers on a troubled boy who may possess the ability to fly and the girl who befriends him.
  • D. GENES
    GENES (Groupe des Écoles Nationales d’Économie et Statistique) is a French public higher education and research group specializing in economics, statistics, and data science, bringing together several elite institutions including ENSAE Paris.
  • E. Genet
    Genet is the surname of Jean Genet, the influential 20th-century French novelist, playwright, and poet known for his provocative explorations of crime, marginalization, and identity.
  • 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_69e2458ebd808190b3298163132cfb0b completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1a6fd280c81908aae05f0851466eb completed April 29, 2026, 6:36 a.m.
Created at: April 17, 2026, 5:54 p.m.