Triple

T22545081
Position Surface form Disambiguated ID Type / Status
Subject Samuel Richardson E557398 entity
Predicate name P16 FINISHED
Object Samuel Richardson 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: Samuel Richardson | Statement: [Samuel Richardson, name, Samuel Richardson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Samuel Richardson
Context triple: [Samuel Richardson, name, Samuel Richardson]
  • A. Samuel Richardson chosen
    Samuel Richardson was an 18th-century English novelist best known for pioneering the epistolary novel with works such as "Pamela" and "Clarissa."
  • B. John Cleland
    John Cleland was an 18th-century English novelist best known as the author of the erotic novel "Fanny Hill."
  • C. John Cleland
    John Cleland is a Scottish racing driver best known for winning multiple titles in the British Touring Car Championship during the late 1980s and 1990s.
  • D. Aphra Behn
    Aphra Behn was a pioneering 17th-century English playwright, poet, and novelist, often regarded as one of the first professional female writers in English literature.
  • E. Sosthenes Behn
    Sosthenes Behn was an American businessman and telecommunications pioneer best known for building a global phone empire and co-founding ITT Corporation.
  • 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_69e11e58662081909ae346ab384514ca completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15f34a0688190ad55be067db8e21b completed April 29, 2026, 1:30 a.m.
Created at: April 16, 2026, 8:51 p.m.