Triple

T8013073
Position Surface form Disambiguated ID Type / Status
Subject Graham Pilger E186542 entity
Predicate name P16 FINISHED
Object Graham Pilger E186542 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: Graham Pilger | Statement: [Graham Pilger, name, Graham Pilger]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Graham Pilger
Context triple: [Graham Pilger, name, Graham Pilger]
  • A. Graham Pilger chosen
    Graham Pilger is an individual notable enough to be recognized as a bearer of the surname Pilger, though specific widely known biographical details about him are not readily documented.
  • B. Ian Pilger
    Ian Pilger is an individual notable enough to be recognized as a namesake or distinguished bearer of the surname Pilger.
  • C. Sam Pilger
    Sam Pilger is a British sports journalist and writer known for his coverage of football and contributions to major publications.
  • D. Raymond Pilger
    Raymond Pilger is an individual notable enough to be specifically cited as a bearer of the surname Pilger.
  • E. Peter Pilger
    Peter Pilger is an individual notable enough to be recognized as a bearer of the surname Pilger.
  • 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_69ca82abaffc8190ab8af79cdbc31ab3 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3d73bf048190ad8066a7e95c34b0 completed March 31, 2026, 3:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc56b4608081909c546d56129d1164 completed March 31, 2026, 11:20 p.m.
Created at: March 30, 2026, 5:19 p.m.