Triple

T15367942
Position Surface form Disambiguated ID Type / Status
Subject Idiocracy E367464 entity
Predicate mainCharacter P1183 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: [Idiocracy, mainCharacter, Rita]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rita
Context triple: [Idiocracy, mainCharacter, 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
    Rita is a small islet in the Majuro Atoll of the Marshall Islands, known as part of the ring of islands surrounding Majuro Lagoon.
  • C. Rita
    Rita is a high-speed launched roller coaster at Alton Towers Resort in Staffordshire, England.
  • D. 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."
  • E. Rita Malone
    Rita Malone is a daring and resourceful boat captain and scavenger who co-stars as the street-smart heroine in the animated film "Flushed Away."
  • 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_69d85a1483788190ad93c2748e8af34b completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e4a7cdc8190b7b48c97e774c306 completed April 16, 2026, 1:41 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff0b4e968c8190a16824ee3ede13b2 completed May 9, 2026, 10:24 a.m.
Created at: April 10, 2026, 3:18 a.m.