Triple

T8976308
Position Surface form Disambiguated ID Type / Status
Subject Max Pirkis E214396 entity
Predicate name P16 FINISHED
Object Max Pirkis E214396 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: Max Pirkis | Statement: [Max Pirkis, name, Max Pirkis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Max Pirkis
Context triple: [Max Pirkis, name, Max Pirkis]
  • A. Max Pirkis chosen
    Max Pirkis is a British actor best known for his role as midshipman Lord Blakeney in the historical naval film "Master and Commander: The Far Side of the World."
  • B. George Pilger
    George 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 well documented.
  • C. Michael Peyser
    Michael Peyser is an American film and television producer known for his work on a variety of studio and independent projects.
  • D. Russell Faibisch
    Russell Faibisch is an American music promoter and entrepreneur best known for creating and developing the globally renowned Ultra Music Festival electronic dance music brand.
  • E. Martin Peters
    Martin Peters was an English footballer best known as a versatile midfielder who starred for West Ham United and scored in England’s 1966 World Cup final victory.
  • 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_69ca839ea8b88190922c6a326ffcc0d3 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc6786c880819088393bb107a7364c completed April 1, 2026, 12:32 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfc96aa46c81908b95a23fd2b4da57 completed April 3, 2026, 2:06 p.m.
Created at: March 30, 2026, 7:02 p.m.