Triple

T22101831
Position Surface form Disambiguated ID Type / Status
Subject Sapphire E546189 entity
Predicate stars P1956 FINISHED
Object Earl Cameron
Earl Cameron was a pioneering Bermudian-born British actor renowned for breaking racial barriers in British cinema and television from the 1950s onward.
E1518800 NE FINISHED

How this triple was built (4 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: Earl Cameron | Statement: [Sapphire, stars, Earl Cameron]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Earl Cameron
Context triple: [Sapphire, stars, Earl Cameron]
  • A. Arthur Cameron
    Arthur Cameron was the husband of American actress and dancer Ann Miller.
  • B. Arthur Cameron
    Arthur Cameron is a member of the Cameron family, known publicly as one of the children of former UK Prime Minister David Cameron.
  • C. Stewart Menzies
    Stewart Menzies was the head of Britain’s Secret Intelligence Service (MI6) during World War II, overseeing key intelligence operations including those at Bletchley Park.
  • D. Douglas Gerrard
    Douglas Gerrard was an early 20th-century film actor and director who appeared in numerous silent-era productions.
  • E. James Shearman
    James Shearman is a British conductor and orchestrator known for his extensive work on major film scores, including numerous Hollywood blockbusters.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Earl Cameron
Triple: [Sapphire, stars, Earl Cameron]
Generated description
Earl Cameron was a pioneering Bermudian-born British actor renowned for breaking racial barriers in British cinema and television from the 1950s onward.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Earl Cameron
Target entity description: Earl Cameron was a pioneering Bermudian-born British actor renowned for breaking racial barriers in British cinema and television from the 1950s onward.
  • A. Arthur Cameron
    Arthur Cameron was the husband of American actress and dancer Ann Miller.
  • B. Arthur Cameron
    Arthur Cameron is a member of the Cameron family, known publicly as one of the children of former UK Prime Minister David Cameron.
  • C. Stewart Menzies
    Stewart Menzies was the head of Britain’s Secret Intelligence Service (MI6) during World War II, overseeing key intelligence operations including those at Bletchley Park.
  • D. Douglas Gerrard
    Douglas Gerrard was an early 20th-century film actor and director who appeared in numerous silent-era productions.
  • E. James Shearman
    James Shearman is a British conductor and orchestrator known for his extensive work on major film scores, including numerous Hollywood blockbusters.
  • F. None of above. chosen

Provenance (5 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_69e11e378dc08190896d6a51597afd5a completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f129163b908190b63ace06016f4db8 completed April 28, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a87a5323c8190b9d4581515ab7999 completed May 18, 2026, 3:29 a.m.
NEDg Description generation batch_6a0a8a49535881908538d03581de240b completed May 18, 2026, 3:40 a.m.
NED2 Entity disambiguation (via description) batch_6a0a8ad24bcc81908fc15fd05295334b completed May 18, 2026, 3:43 a.m.
Created at: April 16, 2026, 8:30 p.m.