Triple

T20628946
Position Surface form Disambiguated ID Type / Status
Subject Green Card E506897 entity
Predicate cinematographyBy P1953 FINISHED
Object Geoffrey Simpson 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: Geoffrey Simpson | Statement: [Green Card, cinematographyBy, Geoffrey Simpson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Geoffrey Simpson
Context triple: [Green Card, cinematographyBy, Geoffrey Simpson]
  • A. Geoffrey Simpson chosen
    Geoffrey Simpson is an Australian cinematographer known for his work on feature films including the 1994 adaptation of "Little Women."
  • B. George Gaylord Simpson
    George Gaylord Simpson was a prominent American paleontologist whose work on fossil mammals and evolutionary theory helped shape the modern evolutionary synthesis.
  • C. Allan Wilson
    Allan Wilson was a British South Africa Company officer best known for leading and dying with his men in the ill-fated Shangani Patrol during the First Matabele War.
  • D. John Darwin
    John Darwin is a British historian and academic known for his influential work on the history of empires, particularly the British Empire and global imperialism.
  • E. John Darwin
    John Darwin is a British former teacher and prison officer who infamously faked his own death in a canoeing accident in 2002 as part of an insurance fraud scheme.
  • 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_69e0b4bd4a0081908d4e97a590a33fb2 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6abe771e88190a48471bf83b4804d completed April 20, 2026, 10:42 p.m.
Created at: April 16, 2026, 11:42 a.m.