Triple

T8207249
Position Surface form Disambiguated ID Type / Status
Subject Here Comes the Groom E191717 entity
Predicate cinematographyBy P1953 FINISHED
Object George Barnes E175275 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: George Barnes | Statement: [Here Comes the Groom, cinematographyBy, George Barnes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: George Barnes
Context triple: [Here Comes the Groom, 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. 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.
  • E. Thomas Bartee
    Thomas Bartee was a mathematician and computer scientist known for his contributions to algebraic structures in computing and for coauthoring influential texts with Garrett Birkhoff.
  • 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_69ca82c7f3e08190857bf1fc63b2a10c completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb726b520081908ce4a03bd14dfcdf completed March 31, 2026, 7:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69ce023e93248190abbe3cd8ab8194fd completed April 2, 2026, 5:44 a.m.
Created at: March 30, 2026, 5:43 p.m.