Triple

T13163614
Position Surface form Disambiguated ID Type / Status
Subject John Stephenson E312788 entity
Predicate name P16 FINISHED
Object John Stephenson E312788 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: John Stephenson | Statement: [John Stephenson, name, John Stephenson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Stephenson
Context triple: [John Stephenson, name, John Stephenson]
  • A. John Stephenson chosen
    John Stephenson was an American voice actor best known for his extensive work in classic Hanna-Barbera cartoons and other animated television series.
  • B. Stephen Carlile
    Stephen Carlile is a British stage actor best known for playing Scar in the Broadway and touring productions of Disney’s The Lion King.
  • C. John Dodds
    John Dodds was the husband of American actress Vivian Vance, best known for her role as Ethel Mertz on the classic television series "I Love Lucy."
  • D. John Strickland
    John Strickland is a relatively obscure individual whose primary distinguishing feature is sharing the Strickland surname, with no widely recognized public achievements or roles commonly associated with his name.
  • E. John Strickland
    John Strickland is a British television director known for his work on series such as "Bodyguard," "Line of Duty," and other high-profile dramas.
  • 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_69d806ac3ee081909b2fd27d060aa974 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98c0a9d348190909fcf45f9d650e4 completed April 10, 2026, 11:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6f5e22458819097dc8d6708df5284 completed May 3, 2026, 7:14 a.m.
Created at: April 9, 2026, 9:13 p.m.