Triple

T1572167
Position Surface form Disambiguated ID Type / Status
Subject Zoe Pilger E33563 entity
Predicate parent P120 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: [Zoe Pilger, parent, John Pilger]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Pilger
Context triple: [Zoe Pilger, parent, 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_69a885f11b048190935025a035302715 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a908ba6a4081909f75faf470c53d86 completed March 5, 2026, 4:38 a.m.
NED1 Entity disambiguation (via context triple) batch_69aeb3a390bc8190891ebd5d8a48d818 completed March 9, 2026, 11:48 a.m.
Created at: March 4, 2026, 7:27 p.m.