Triple

T7771400
Position Surface form Disambiguated ID Type / Status
Subject Michael Pilger E179079 entity
Predicate name P16 FINISHED
Object Michael Pilger E179079 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: Michael Pilger | Statement: [Michael Pilger, name, Michael Pilger]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michael Pilger
Context triple: [Michael Pilger, name, Michael Pilger]
  • A. Michael Pilger chosen
    Michael Pilger is an individual notable enough to be specifically cited as a bearer of the surname Pilger.
  • B. 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.
  • C. Steve Pilger
    Steve Pilger is an individual notable enough to be specifically cited as a bearer of the surname Pilger, though detailed public information about his life or achievements is limited.
  • D. Robert Pilger
    Robert Pilger is a relatively obscure individual about whom no widely known public or biographical information is readily available.
  • E. David Pilger
    David Pilger is an individual notable enough to be recorded as a bearer of the surname Pilger, though no widely recognized public information about him is available.
  • 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_69c69f30602c819082ab52cd4af5c592 completed March 27, 2026, 3:16 p.m.
NER Named-entity recognition batch_69c7045ebae88190a04c8f972795e615 completed March 27, 2026, 10:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8c7ead45c8190847365d8549eefab completed March 29, 2026, 6:34 a.m.
Created at: March 27, 2026, 4:11 p.m.