Triple

T19755166
Position Surface form Disambiguated ID Type / Status
Subject Reamde E474482 entity
Predicate mainCharacter P1183 FINISHED
Object Richard Forthrast NE NERFINISHED

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 Forthrast | Statement: [Reamde, mainCharacter, Richard Forthrast]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Richard Forthrast
Context triple: [Reamde, mainCharacter, Richard Forthrast]
  • A. Richard Forthrast chosen
    Richard Forthrast is a wealthy, eccentric tech entrepreneur and former marijuana smuggler who becomes entangled in a high-stakes cybercrime and terrorism plot in Neal Stephenson’s novel "Reamde."
  • B. Andrew DeRoberts
    Andrew DeRoberts is a music producer and songwriter known for his work in contemporary country music.
  • C. Brian J. Reynolds
    Brian J. Reynolds is a cinematographer best known for his work on the crime film "Gang Related."
  • D. Tharon Musser
    Tharon Musser was a pioneering American lighting designer renowned for revolutionizing Broadway lighting with her innovative use of computerized systems on landmark productions.
  • E. Jeff Gillen
    Jeff Gillen was an American actor and filmmaker best known for co-directing the cult horror film "Deranged" and appearing in movies such as "A Christmas Story."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e51940a0819087bd2996f98da668 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6529dada081909c5b4d65247c6032 completed April 20, 2026, 4:21 p.m.
Created at: April 10, 2026, 1:48 p.m.