Triple

T18168709
Position Surface form Disambiguated ID Type / Status
Subject Meet John Doe E434962 entity
Predicate cinematographyBy P1953 FINISHED
Object George Barnes 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: George Barnes | Statement: [Meet John Doe, cinematographyBy, George Barnes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: George Barnes
Context triple: [Meet John Doe, cinematographyBy, George Barnes]
  • A. George Barnes chosen
    George Barnes was an American cinematographer renowned for his work on numerous classic Hollywood films from the silent era through the 1950s, earning multiple Academy Award nominations and one win.
  • B. Samuel Barnes
    Samuel Barnes is an author known for his work with the Juicy brand.
  • C. Samuel Barnes
    Samuel Barnes is a music producer best known for his work on the album "Faith."
  • D. Samuel Barnes
    Samuel Barnes is a songwriter and music producer known for co-writing Rihanna's early hit "If It's Lovin' that You Want."
  • E. Charles Jennings
    Charles Jennings was a Canadian journalist and radio broadcaster, best known for his work with the Canadian Broadcasting Corporation (CBC) and as the father of news anchor Peter Jennings.
  • 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_69d8b90b7a188190b3fc7b8d4a6cd20a completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4df53ef148190a32aad0253547645 completed April 19, 2026, 1:57 p.m.
Created at: April 10, 2026, 10:30 a.m.