Triple

T16009559
Position Surface form Disambiguated ID Type / Status
Subject Lord Asriel E388302 entity
Predicate sacrifices P18946 FINISHED
Object Roger Parslow E1189649 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: Roger Parslow | Statement: [Lord Asriel, sacrifices, Roger Parslow]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Roger Parslow
Context triple: [Lord Asriel, sacrifices, Roger Parslow]
  • A. Roger Parslow chosen
    Roger Parslow is a kitchen boy at Jordan College and Lyra Belacqua’s loyal childhood friend in Philip Pullman’s "His Dark Materials" series.
  • B. Roger Butlin
    Roger Butlin is an evolutionary biologist known for his research on speciation and the genetic basis of reproductive isolation in natural populations.
  • C. Roger Mirams
    Roger Mirams was a New Zealand-born film and television producer known for his work on numerous Australian and New Zealand screen productions in the mid-20th century.
  • D. Roger Lupton
    Roger Lupton was a 16th-century English clergyman and educational benefactor best known for his role in establishing Sedbergh School.
  • E. Roy Greaves
    Roy Greaves is a former English footballer best known for his significant contributions to Bolton Wanderers, where he earned a place in the club’s Hall of Fame.
  • 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_69d86dabcb7c8190b6a39d6831d2fa1b completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1828f8c688190a6b365f9140cd2d8 completed April 17, 2026, 12:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffdbcc12dc8190a80d776b63a6ad35 completed May 10, 2026, 1:13 a.m.
Created at: April 10, 2026, 4:55 a.m.