Triple

T5506821
Position Surface form Disambiguated ID Type / Status
Subject Christopher Benchley E144459 entity
Predicate hasRelative P367 FINISHED
Object Robert Benchley E111153 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: Robert Benchley | Statement: [Christopher Benchley, hasRelative, Robert Benchley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Robert Benchley
Context triple: [Christopher Benchley, hasRelative, Robert Benchley]
  • A. Robert Benchley chosen
    Robert Benchley was an American humorist, writer, and actor best known for his witty essays, film shorts, and membership in the Algonquin Round Table.
  • B. Irvin S. Cobb
    Irvin S. Cobb was an American humorist, author, and journalist known for his witty short stories, columns, and contributions to early 20th-century newspapers and magazines.
  • C. Cecil Layendecker
    Cecil Layendecker is a relatively obscure individual known primarily by name, with no widely documented public achievements or biographical details.
  • D. Jon Arbuckle
    Jon Arbuckle is the socially awkward cartoonist and long-suffering owner of Garfield the cat in the Garfield comic strip and its adaptations.
  • E. Fred Allen
    Fred Allen was an American film editor active in mid-20th-century cinema, known for his work on numerous Hollywood productions.
  • 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_69c008f6b5048190a09064116062cf69 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c01f47d2dc8190ad874be6902d8a4c completed March 22, 2026, 4:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69c04caef4e881909811f69360299a68 completed March 22, 2026, 8:10 p.m.
Created at: March 22, 2026, 3:32 p.m.