Triple

T20609170
Position Surface form Disambiguated ID Type / Status
Subject She Bop E506398 entity
Predicate writer P1360 FINISHED
Object Gary Corbett 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: Gary Corbett | Statement: [She Bop, writer, Gary Corbett]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gary Corbett
Context triple: [She Bop, writer, Gary Corbett]
  • A. Gary Corbett chosen
    Gary Corbett was an American keyboardist best known for his work with rock and metal acts such as Cinderella and KISS.
  • B. Tembo
    Tembo is a data platform and tooling ecosystem built around PostgreSQL, designed to simplify deploying, managing, and scaling Postgres-based applications.
  • C. Tembo
    Tembo are a Bantu-speaking ethnic group primarily inhabiting the eastern region of the Democratic Republic of the Congo, known for their agrarian lifestyle and rich cultural traditions.
  • D. Nandinho
    Nandinho is a Portuguese diminutive nickname commonly used for people named Fernando.
  • E. Singu
    Singu is a town in central Myanmar known for its location along the Irrawaddy River in the Mandalay Region.
  • 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_69e0b4bb2b4081908fa4a72444120f35 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6aad5e53c8190b0add34ce9b31d57 completed April 20, 2026, 10:38 p.m.
Created at: April 16, 2026, 11:41 a.m.