Triple

T2676525
Position Surface form Disambiguated ID Type / Status
Subject Lady Sarah Chatto E56473 entity
Predicate child P120 FINISHED
Object Samuel Chatto E287154 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: Samuel Chatto | Statement: [Lady Sarah Chatto, child, Samuel Chatto]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Samuel Chatto
Context triple: [Lady Sarah Chatto, child, Samuel Chatto]
  • A. Andrew Chatto
    Andrew Chatto was a 19th-century British publisher best known as the co-founder of the influential London publishing house Chatto & Windus.
  • B. Daniel Chatto chosen
    Daniel Chatto is a British former actor and artist best known as the husband of Lady Sarah Chatto, niece of King Charles III.
  • C. Anthony Peckham
    Anthony Peckham is a South African–born screenwriter best known for scripting films such as "Invictus" and "Sherlock Holmes."
  • D. Samuel Garbett
    Samuel Garbett was an 18th-century English industrialist and merchant from Birmingham, known for his role in the early chemical industry and his involvement in the influential Lunar Society.
  • E. Samuel Russell
    Samuel Russell was an architect known for designing the Middlesex Guildhall in London, a notable example of early 20th-century civic architecture.
  • 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_69ab4a4b13fc81909dfdb3f23da46832 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd9b4a70481909d8b8242039c1cf2 completed March 7, 2026, 7:54 a.m.
NED1 Entity disambiguation (via context triple) batch_69afaf54711881909936ecf850ff6e2e completed March 10, 2026, 5:42 a.m.
Created at: March 6, 2026, 9:54 p.m.