Triple

T11196500
Position Surface form Disambiguated ID Type / Status
Subject Charles Revson E264935 entity
Predicate sibling P363 FINISHED
Object Joseph Revson E388406 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: Joseph Revson | Statement: [Charles Revson, sibling, Joseph Revson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Joseph Revson
Context triple: [Charles Revson, sibling, Joseph Revson]
  • A. Joseph Revson chosen
    Joseph Revson was an American businessman best known as a co-founder of the major cosmetics company Revlon.
  • B. Ralph Berkowitz
    Ralph Berkowitz was an American pianist, accompanist, and arts administrator known for his influential work in classical music performance and education.
  • C. Marvin Duchow
    Marvin Duchow was a Canadian musicologist and influential professor of music at McGill University, known for his scholarship in Renaissance and Baroque music.
  • D. Charles Steinberg
    Charles Steinberg is a longtime baseball executive and communications specialist known for his prominent roles with several Major League Baseball organizations and leadership in fan experience and community engagement.
  • E. Sam Levene
    Sam Levene was a prominent American stage and film actor best known for his comic and character roles in mid-20th-century Broadway productions and Hollywood movies.
  • 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_69d6aa9eb9248190b20211772621b4bc completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e8c082fc8190866c574f698b59ef completed April 9, 2026, 5:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5d3049e788190a7caf324a4b793d2 completed April 20, 2026, 7:17 a.m.
Created at: April 8, 2026, 9:29 p.m.