Triple

T22453333
Position Surface form Disambiguated ID Type / Status
Subject Leviathan E555047 entity
Predicate hasPart P35 FINISHED
Object Joseph Merrick 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: Joseph Merrick | Statement: [Leviathan, hasPart, Joseph Merrick]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Joseph Merrick
Context triple: [Leviathan, hasPart, Joseph Merrick]
  • A. John Merrick chosen
    John Merrick, better known as Joseph Merrick, was a severely deformed 19th-century Englishman whose life story inspired the film "The Elephant Man."
  • B. John Merrick
    John Merrick was an influential African American entrepreneur and philanthropist best known as a co-founder of North Carolina Mutual Life Insurance Company, one of the most successful Black-owned businesses in the United States.
  • C. Sir John Merrick
    Sir John Merrick was a 17th-century English parliamentarian and political figure who served on the revolutionary Committee of Safety during the English Civil War.
  • D. Freddie Cunliffe
    Freddie Cunliffe is a British actor best known for his role in the 1999 war drama film "The War Zone."
  • E. John Macnaghten Whittaker
    John Macnaghten Whittaker was a British mathematician and academic known for his contributions to analysis and for serving as Vice-Chancellor of the University of Sheffield.
  • 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_69e11e5113208190ab58c6b595f9d1d0 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15b4d6368819082cafbbd83339fbf completed April 29, 2026, 1:13 a.m.
Created at: April 16, 2026, 8:48 p.m.