Triple

T7742868
Position Surface form Disambiguated ID Type / Status
Subject Peter Pilger E175553 entity
Predicate name P16 FINISHED
Object Peter Pilger E175553 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: Peter Pilger | Statement: [Peter Pilger, name, Peter Pilger]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Peter Pilger
Context triple: [Peter Pilger, name, Peter Pilger]
  • A. Peter Pilger chosen
    Peter Pilger is an individual notable enough to be recognized as a bearer of the surname Pilger.
  • B. Thomas Pilger
    Thomas Pilger is an individual notable enough to be recognized as a namesake of the surname Pilger, though specific widely known biographical details about him are not well documented.
  • C. Graham Pilger
    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.
  • D. Philip Pilger
    Philip Pilger is an individual notable enough to be recorded as a namesake of the surname Pilger, though specific widely known public details about him are not readily available.
  • E. Ian Pilger
    Ian Pilger is an individual notable enough to be recognized as a namesake or distinguished 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_69c6995f9c60819092e386192bd63c6f completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c70387807081909546bc7c209955ef completed March 27, 2026, 10:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8be48d61c8190aba1e5f23d7cb1be completed March 29, 2026, 5:53 a.m.
Created at: March 27, 2026, 4:07 p.m.