Triple

T8099093
Position Surface form Disambiguated ID Type / Status
Subject Margaret "Rita" Mirembe Revell E189060 entity
Predicate nickname P55 FINISHED
Object Rita E12279 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: Rita | Statement: [Margaret "Rita" Mirembe Revell, nickname, Rita]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rita
Context triple: [Margaret "Rita" Mirembe Revell, nickname, Rita]
  • A. Rita chosen
    Rita is a feminine given name used in various cultures, often as a short form of names like Margarita.
  • B. Rita Gam
    Rita Gam was an American film and television actress known for her work in the 1950s and 1960s, including roles in films such as "The Thief" and "King of Kings."
  • C. Rita May
    Rita May is a song co-written by lyricist Jacques Levy, known for his collaborations with prominent rock and folk musicians in the 1970s.
  • D. Lillita
    Lillita is the birth name of Lita Grey, the American actress best known for her early silent film work and marriage to Charlie Chaplin.
  • E. Raisa
    Raisa Gorbacheva was the influential and highly visible wife of Soviet leader Mikhail Gorbachev, known for her intellectual background, public role, and charitable work.
  • 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_69ca82b886d88190a9cba0d5a4a27521 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb42961ad4819085d023427fc5ac5f completed March 31, 2026, 3:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc641d96e88190adee974b79d5fc05 completed April 1, 2026, 12:17 a.m.
Created at: March 30, 2026, 5:30 p.m.