Triple

T1521243
Position Surface form Disambiguated ID Type / Status
Subject Pilger E32232 entity
Predicate hasNotableBearer P458 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: [Pilger, hasNotableBearer, John Pilger]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Pilger
Context triple: [Pilger, hasNotableBearer, 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. Sam Pilger
    Sam Pilger is a British sports journalist and writer known for his coverage of football and contributions to major publications.
  • C. Zoe Pilger
    Zoe Pilger is a British novelist, art critic, and journalist known for her debut novel "Eat My Heart Out" and her writing on contemporary feminism and culture.
  • D. Seymour Hersh
    Seymour Hersh is an American investigative journalist renowned for uncovering major government abuses and scandals, including the My Lai massacre during the Vietnam War.
  • E. Patrick Cockburn
    Patrick Cockburn is a British journalist and author renowned for his in-depth reporting on Middle Eastern conflicts, particularly the Iraq War.
  • 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_69a885e9b0ac819093a9806ad0efc82c completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a907f071848190a5fb8fa1b97ef4de completed March 5, 2026, 4:34 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad294f9e2481909f1d685d7f083c6a completed March 8, 2026, 7:46 a.m.
Created at: March 4, 2026, 7:26 p.m.