Triple

T10739775
Position Surface form Disambiguated ID Type / Status
Subject Nothing Sacred E253290 entity
Predicate cinematographyBy P1953 FINISHED
Object W. Howard Greene E526901 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: W. Howard Greene | Statement: [Nothing Sacred, cinematographyBy, W. Howard Greene]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: W. Howard Greene
Context triple: [Nothing Sacred, cinematographyBy, W. Howard Greene]
  • A. W. Howard Greene chosen
    W. Howard Greene was an American cinematographer noted for his pioneering work in early Technicolor films and multiple Academy Award–recognized achievements in color cinematography.
  • B. Howard J. Green
    Howard J. Green was an American screenwriter active during Hollywood’s early sound era, known for his work on several prominent 1930s films.
  • C. Cecil H. Green
    Cecil H. Green was a British-born American geophysicist, entrepreneur, and philanthropist best known as a co-founder of Texas Instruments and a major benefactor of educational and research institutions.
  • D. Bernard L. Green
    Bernard L. Green was an architect known for designing the building known as The Big House.
  • E. Ward Greene
    Ward Greene was an American writer and editor best known for creating the story that inspired Disney’s animated film "Lady and the Tramp."
  • 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_69d6aa5e51e8819095f06881cecf152e completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d71043106c819091939950f532eda5 completed April 9, 2026, 2:34 a.m.
NED1 Entity disambiguation (via context triple) batch_69f716adaed081909a6c026f9e232381 completed May 3, 2026, 9:34 a.m.
Created at: April 8, 2026, 9:14 p.m.