Triple

T18562161
Position Surface form Disambiguated ID Type / Status
Subject John Fuller E453670 entity
Predicate name P16 FINISHED
Object John Fuller — 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: John Fuller | Statement: [John Fuller, name, John Fuller]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: John Fuller
Context triple: [John Fuller, name, John Fuller]
  • A. John Fuller
    John Fuller was a descendant of the English physician and writer Thomas Fuller, likely known primarily through this familial connection.
  • B. John Fuller
    John Fuller was a notable figure in the history of chemistry, recognized as the namesake of the Fullerian Professorship of Chemistry at the Royal Institution.
  • C. Larry Fuller
    Larry Fuller is an American choreographer and director best known for his work on major stage musicals in London’s West End and on Broadway.
  • D. Larry Fuller
    Larry Fuller is an American jazz pianist known for his swinging, straight-ahead style and work with prominent groups and bandleaders, including the Ray Brown Trio.
  • E. Jack Fuller
    Jack Fuller is a carefree, recently fired New Yorker who impulsively marries a stranger during a wild weekend in Las Vegas, setting off the central comedic conflict of the film "What Happens in Vegas."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide. chosen

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_69d8d38974308190a9174430ef256b73 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e53afb4f088190adf0b2b64057a210 completed April 19, 2026, 8:28 p.m.
Created at: April 10, 2026, 11:42 a.m.