Triple

T10595382
Position Surface form Disambiguated ID Type / Status
Subject The Hot Zone E250097 entity
Predicate writtenBy P806 FINISHED
Object Richard Preston E873504 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: Richard Preston | Statement: [The Hot Zone, writtenBy, Richard Preston]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Richard Preston
Context triple: [The Hot Zone, writtenBy, Richard Preston]
  • A. Richard Preston chosen
    Richard Preston is an American journalist and author best known for his nonfiction books about infectious diseases and biological threats, including the bestseller "The Hot Zone."
  • B. Peter S. Seaman
    Peter S. Seaman is an American screenwriter best known for co-writing major Hollywood films such as "Who Framed Roger Rabbit" and "Shrek the Third."
  • C. Richard Q. Twiss
    Richard Q. Twiss was a British physicist best known for co-discovering the Hanbury Brown and Twiss effect, which laid foundational work for modern quantum optics and intensity interferometry.
  • D. Peter H. Dominick
    Peter H. Dominick was a Republican U.S. Senator from Colorado who served in the 1960s and early 1970s before being unseated by Democrat Gary Hart.
  • E. Douglas J. Foskett
    Douglas J. Foskett was a British librarian and information scientist known for his influential work in library classification and information retrieval.
  • 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_69d381c9d3d48190a29ee491e1696a0e completed April 6, 2026, 9:50 a.m.
NER Named-entity recognition batch_69d5278cbf9081909ef419b0144d5019 completed April 7, 2026, 3:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69d96b6109f08190915953e0ab708981 completed April 10, 2026, 9:28 p.m.
Created at: April 6, 2026, 12:41 p.m.