Triple

T23072584
Position Surface form Disambiguated ID Type / Status
Subject Sophie Prize E575235 entity
Predicate hasRecipient P108 FINISHED
Object John Pilger E5169 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: John Pilger | Statement: [Sophie Prize, hasRecipient, John Pilger]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Pilger
Context triple: [Sophie Prize, hasRecipient, John Pilger]
  • A. John Pilger chosen
    John Pilger was an Australian journalist, author, and documentary filmmaker renowned for his investigative reporting and outspoken criticism of Western foreign policy and media.
  • B. Mark Pilger
    Mark Pilger is an individual notable enough to be specifically referenced as a bearer of the surname Pilger, though detailed public information about his life or work is not widely documented.
  • C. Walter Pilger
    Walter Pilger is an individual notable enough to be recognized as a namesake or prominent bearer of the surname Pilger.
  • D. William Pilger
    William Pilger is an individual notable enough to be recognized as a namesake or prominent bearer of the surname Pilger.
  • E. Brian Pilger
    Brian Pilger is an individual notable enough to be recognized as a namesake of the surname Pilger, though specific widely known public details about him are limited.
  • 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_69e245be28d48190ad1348d5a73db37d completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f18c60fa6c81908496f181c7d62033 completed April 29, 2026, 4:43 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c15a941748190b6c44e4a6e6256e2 completed May 19, 2026, 7:47 a.m.
Created at: April 17, 2026, 3:56 p.m.