Triple

T7044613
Position Surface form Disambiguated ID Type / Status
Subject Rita Garnett E163599 entity
Predicate givenName P17 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: [Rita Garnett, givenName, Rita]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rita
Context triple: [Rita Garnett, givenName, 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_69c6885f598c8190b6b6495c59d8d962 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6e23730888190a827ca5c61c4eed0 completed March 27, 2026, 8:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7887799f48190b4fa311defd8e9fd completed March 28, 2026, 7:51 a.m.
Created at: March 27, 2026, 2:37 p.m.