Triple

T12685828
Position Surface form Disambiguated ID Type / Status
Subject Mrs Brown E303062 entity
Predicate cinematographyBy P1953 FINISHED
Object Richard Greatrex E114089 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: Richard Greatrex | Statement: [Mrs Brown, cinematographyBy, Richard Greatrex]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Richard Greatrex
Context triple: [Mrs Brown, cinematographyBy, Richard Greatrex]
  • A. Richard Greatrex chosen
    Richard Greatrex is a British cinematographer best known for his Academy Award-nominated work on the film "Shakespeare in Love."
  • B. Rex Maidment
    Rex Maidment is a cinematographer best known for his work on the film "Enchanted April."
  • C. Charles Giblyn
    Charles Giblyn was an early 20th-century American film director and actor active during the silent film era.
  • D. Richard Hale
    Richard Hale was an American character actor and former opera singer known for his supporting roles in mid-20th-century films and television.
  • E. Paul Everingham
    Paul Everingham is an Australian politician best known for serving as the first Chief Minister of the Northern Territory following the granting of self-government.
  • 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_69d7bdee64a08190801c6d470aefd723 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d961d7cd4c81909521839ef5859799 completed April 10, 2026, 8:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f671a8f068819086e2191439607f76 completed May 2, 2026, 9:50 p.m.
Created at: April 9, 2026, 5:21 p.m.