Triple

T7815295
Position Surface form Disambiguated ID Type / Status
Subject Paul Pilger E180990 entity
Predicate name P16 FINISHED
Object Paul Pilger E180990 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: Paul Pilger | Statement: [Paul Pilger, name, Paul Pilger]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paul Pilger
Context triple: [Paul Pilger, name, Paul Pilger]
  • A. Paul Pilger chosen
    Paul Pilger is an individual notable enough to be recognized as a bearer of the surname Pilger, though specific widely known public details about him are not readily available.
  • B. Max Pilger
    Max Pilger is a relatively obscure individual sharing the Pilger surname, with limited publicly available biographical or professional information.
  • C. Walter Pilger
    Walter Pilger is an individual notable enough to be recognized as a namesake or prominent bearer of the surname Pilger.
  • D. Johann Pilger
    Johann Pilger is an individual notable enough to be recorded as a bearer of the surname Pilger, though specific widely known biographical details about him are not readily available.
  • E. Edward Pilger
    Edward Pilger is an individual notable enough to be specifically cited 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_69ca828153f48190bdb27ac46f8e0745 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69caf96d1f088190a1d005ffb019afe9 completed March 30, 2026, 10:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69cb147d965881908003551710a1bbff completed March 31, 2026, 12:25 a.m.
Created at: March 30, 2026, 4:39 p.m.