Triple

T15492784
Position Surface form Disambiguated ID Type / Status
Subject Ralph Forbes as Carl E378737 entity
Predicate portrayedBy P1507 FINISHED
Object Ralph Forbes E378735 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: Ralph Forbes | Statement: [Ralph Forbes as Carl, portrayedBy, Ralph Forbes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ralph Forbes
Context triple: [Ralph Forbes as Carl, portrayedBy, Ralph Forbes]
  • A. Ralph Forbes chosen
    Ralph Forbes was a British-born film and stage actor prominent in the 1920s and 1930s, known for his roles in early Hollywood dramas and adventure films.
  • B. Louis Forbes
    Louis Forbes was a film composer and music director known for scoring numerous Hollywood productions during the mid-20th century.
  • C. Ralph Warburton
    Ralph Warburton is an individual associated with the use or ownership of something named Warburton, likely as a personal or family name.
  • D. Ralph Carter
    Ralph Carter is an American actor and singer best known for playing Michael Evans, the youngest son, on the 1970s sitcom "Good Times."
  • E. Ralph Fell
    Ralph Fell was an English Jesuit priest and scholar active in the late 17th and early 18th centuries.
  • 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_69d85cd53a7c819080f5b9042c4c199e completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e03fad723481908d2aa33e8f065f2f completed April 16, 2026, 1:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff3d48f17c819088c4d8c2d2b368c8 completed May 9, 2026, 1:57 p.m.
Created at: April 10, 2026, 3:49 a.m.