Triple

T20079249
Position Surface form Disambiguated ID Type / Status
Subject Mother Angelica E499954 entity
Predicate givenName P17 FINISHED
Object Rita NE NERFINISHED

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: [Mother Angelica, givenName, Rita]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rita
Context triple: [Mother Angelica, givenName, Rita]
  • A. 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.
  • B. Rita chosen
    Rita is a feminine given name used in various cultures, often as a short form of names like Margarita.
  • 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 (2 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_69da627770948190997f486f9a2e370f completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e6643f93208190ae2a413f88ea9aed completed April 20, 2026, 5:37 p.m.
Created at: April 11, 2026, 3:40 p.m.