Triple

T14753642
Position Surface form Disambiguated ID Type / Status
Subject Baynard's Castle E346675 entity
Predicate associatedWith P37 FINISHED
Object Ralph Baynard 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: Ralph Baynard | Statement: [Baynard's Castle, associatedWith, Ralph Baynard]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ralph Baynard
Context triple: [Baynard's Castle, associatedWith, Ralph Baynard]
  • A. Ralph Baynard chosen
    Ralph Baynard was a Norman nobleman and baron who established Baynard's Castle in London following the Norman Conquest.
  • B. Charles M. Barnes
    Charles M. Barnes was an American entrepreneur and bookseller best known as a co-founder of the Barnes & Noble bookstore chain.
  • C. Ralph Johnson
    Ralph Johnson is a computer scientist and influential software engineer best known as one of the "Gang of Four" authors who popularized design patterns in object-oriented programming.
  • D. Arthur Aylesworth
    Arthur Aylesworth was an American character actor known for his supporting roles in numerous Hollywood films during the 1930s and 1940s.
  • E. Arthur Q. Bryan
    Arthur Q. Bryan was an American radio and voice actor best known for originating the distinctive voice of the Looney Tunes character Elmer Fudd.
  • 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_69d822e8896c819091169882f9b20486 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dec7d59df08190a86da5048358bd6e completed April 14, 2026, 11:03 p.m.
Created at: April 10, 2026, 1:30 a.m.