Triple

T8340870
Position Surface form Disambiguated ID Type / Status
Subject Pilger (surname) E195907 entity
Predicate hasNamesake P6111 FINISHED
Object Scott Pilger E195907 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: Scott Pilger | Statement: [Pilger (surname), hasNamesake, Scott Pilger]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Scott Pilger
Context triple: [Pilger (surname), hasNamesake, Scott Pilger]
  • A. Scott Pilger chosen
    Scott Pilger is an individual notable enough to be recognized as a namesake of the surname Pilger.
  • B. 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.
  • C. Sam Pilger
    Sam Pilger is a British sports journalist and writer known for his coverage of football and contributions to major publications.
  • D. 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.
  • E. Mark Pilger
    Mark Pilger is an individual notable enough to be specifically referenced as a bearer of the surname Pilger, though detailed public information about his life or work is not widely documented.
  • 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_69ca82ecbdc481908a55cad8ca062d88 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7fe8989481909b32d4bfd586372d completed March 31, 2026, 8:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69cdc72bc43c81909d95c7eb6aefc403 completed April 2, 2026, 1:32 a.m.
Created at: March 30, 2026, 5:57 p.m.