Triple

T19876575
Position Surface form Disambiguated ID Type / Status
Subject George Stone E477653 entity
Predicate fullName P16 FINISHED
Object George Stone 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: George Stone | Statement: [George Stone, fullName, George Stone]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: George Stone
Context triple: [George Stone, fullName, George Stone]
  • A. George Stone
    George Stone is a fictional Italian-American police officer and expert marksman who joins Eliot Ness’s team of Prohibition agents in the film "The Untouchables."
  • B. George Stone
    George Stone was an early 20th-century American actor known for his roles in silent films.
  • C. George E. Stone
    George E. Stone was a Polish-born American character actor known for his prolific work in Hollywood films from the 1920s through the 1950s, often playing comic sidekicks and underworld figures.
  • D. Charles P. Stone
    Charles P. Stone was a 19th-century American military officer and civil engineer who served in the Union Army during the Civil War and later held senior administrative roles in the U.S. government.
  • E. Charles Morton
    Charles Morton was an 18th-century English dissenting minister and educator best known for founding influential nonconformist academies and later serving as vice president of Harvard College.
  • 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_69d8e51f32b08190b3687f4f60353250 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e658dbdb648190b423865e7994a8fe completed April 20, 2026, 4:48 p.m.
Created at: April 10, 2026, 1:52 p.m.