Triple

T16013718
Position Surface form Disambiguated ID Type / Status
Subject Joseph Revson E388406 entity
Predicate hasRelative P367 FINISHED
Object Charles Revson E264935 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: Charles Revson | Statement: [Joseph Revson, hasRelative, Charles Revson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Charles Revson
Context triple: [Joseph Revson, hasRelative, Charles Revson]
  • A. Charles Revson chosen
    Charles Revson was an American businessman and cosmetics industry pioneer best known as the founder and longtime head of Revlon.
  • B. François Coty
    François Coty was a pioneering French perfumer and businessman who built a global fragrance empire and helped shape the modern perfume industry.
  • C. Norman Norell
    Norman Norell was a pioneering American fashion designer renowned for his elegant, impeccably tailored womenswear and for helping establish New York as a center of high fashion in the mid-20th century.
  • D. Jacques Fath
    Jacques Fath was a prominent mid-20th-century French fashion designer known for his glamorous, innovative couture that helped shape postwar Parisian style.
  • E. Jean Carmet
    Jean Carmet was a renowned French character actor celebrated for his prolific film career and his blend of comic and dramatic roles.
  • 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_69d86dabcb7c8190b6a39d6831d2fa1b completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e18292b79881908efac869603c4029 completed April 17, 2026, 12:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffcf267a9c81908f1fa1ad117c5e2c completed May 10, 2026, 12:19 a.m.
Created at: April 10, 2026, 4:55 a.m.