Triple

T2031195
Position Surface form Disambiguated ID Type / Status
Subject Three Little Words E44519 entity
Predicate cinematographyBy P1953 FINISHED
Object Harry Jackson E229702 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: Harry Jackson | Statement: [Three Little Words, cinematographyBy, Harry Jackson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Harry Jackson
Context triple: [Three Little Words, cinematographyBy, Harry Jackson]
  • A. Harry Jackson chosen
    Harry Jackson was a cinematographer known for his work on classic Hollywood films, including the 1953 musical "The Band Wagon."
  • B. Harry Bentley
    Harry Bentley is a quirky, soft-spoken British neighbor and United Nations translator on the classic American sitcom "The Jeffersons."
  • C. Harry Reeves
    Harry Reeves was an American screenwriter known for his work on classic Walt Disney animated films, including contributing to the screenplay of the 1950 feature "Cinderella."
  • D. Richard Jackson
    Richard Jackson is an educator and founder of Hurtwood House, a renowned independent sixth-form college in Surrey, England.
  • E. Christopher Blake
    Christopher Blake is a stage play written by American playwright Moss Hart, best known for its dramatic exploration of family and marital conflict.
  • 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_69a889144f2481909932f0746a93023d completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abb915c9548190809d08c4d67466fb completed March 7, 2026, 5:35 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae304cc62c81909d152ee6ae543d7e completed March 9, 2026, 2:28 a.m.
Created at: March 4, 2026, 7:38 p.m.