Triple

T23174265
Position Surface form Disambiguated ID Type / Status
Subject Che E578950 entity
Predicate cinematographyBy P1953 FINISHED
Object Peter Andrews NE NERFINISHED

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 Andrews | Statement: [Che, cinematographyBy, Peter Andrews]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Peter Andrews
Context triple: [Che, cinematographyBy, Peter Andrews]
  • A. Peter Andrews chosen
    Peter Andrews is the cinematographer pseudonym used by acclaimed American filmmaker Steven Soderbergh for his work behind the camera on films such as "The Informant!".
  • B. Andrew Matthews
    Andrew Matthews is a popular Australian author and motivational speaker best known for his self-help books on happiness and personal development, such as "Being Happy!" and "Follow Your Heart."
  • C. Bruce Anstey
    Bruce Anstey is a New Zealand motorcycle road racer renowned for his multiple Isle of Man TT victories and long-standing presence among the sport’s elite competitors.
  • D. Peter Litchfield
    Peter Litchfield is an individual notable enough to be recognized as a prominent bearer of the surname Litchfield.
  • E. Peter FitzSimons
    Peter FitzSimons is an Australian author, journalist, and former rugby union player known for his popular historical non-fiction books and long-running newspaper columns.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e245fd2a388190b814c0dfa15f7148 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f18f69cb1881909e0f47d3b32e2cb1 completed April 29, 2026, 4:56 a.m.
Created at: April 17, 2026, 4:04 p.m.