Triple

T7215816
Position Surface form Disambiguated ID Type / Status
Subject C. P. Snow E149530 entity
Predicate fullName P16 FINISHED
Object Charles Percy Snow E149530 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: Charles Percy Snow | Statement: [C. P. Snow, fullName, Charles Percy Snow]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Charles Percy Snow
Context triple: [C. P. Snow, fullName, Charles Percy Snow]
  • A. C. P. Snow chosen
    C. P. Snow was a British scientist, novelist, and government administrator best known for his "Two Cultures" lecture on the divide between the sciences and the humanities.
  • B. George Oppenheimer
    George Oppenheimer was an American screenwriter and playwright known for his work on Hollywood films and Broadway productions in the mid-20th century.
  • C. Andreas Whittam Smith
    Andreas Whittam Smith is a British journalist and newspaper editor best known as the founding editor of the UK national newspaper The Independent.
  • D. Albert Zugsmith
    Albert Zugsmith was an American film producer and director known for his work on low-budget exploitation films and cult classics during the 1950s and 1960s.
  • E. John Bedford Lloyd
    John Bedford Lloyd is an American character actor known for his supporting roles in films and television series, including appearances in major dramas and thrillers.
  • 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_69c687eca814819095abb52316b1af80 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6e98ebe1c81909891b4a1c2c3a4aa completed March 27, 2026, 8:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7bfd82c488190bfa85ffdd7f385ef completed March 28, 2026, 11:47 a.m.
Created at: March 27, 2026, 2:53 p.m.