Triple

T20147800
Position Surface form Disambiguated ID Type / Status
Subject Anita Ekberg E491350 entity
Predicate givenName P17 FINISHED
Object Anita 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: Anita | Statement: [Anita Ekberg, givenName, Anita]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anita
Context triple: [Anita Ekberg, givenName, Anita]
  • A. Anita chosen
    Anita is a feminine given name used in various cultures, often as a diminutive of names like Ana or Anna.
  • B. Anita
    Anita is a character in Simon Gray's stage play "Quartermaine's Terms," which explores the personal lives and quiet tragedies of teachers at a 1960s Cambridge language school.
  • C. Anita Doth
    Anita Doth is a Dutch singer and former member of the Eurodance group 2 Unlimited, known for hits like "Get Ready for This" and "No Limit."
  • D. Anita Dearly
    Anita Dearly is the original book version of the character later known as Anita Radcliffe in Disney’s adaptation of Dodie Smith’s novel "The Hundred and One Dalmatians."
  • E. Marita
    Marita is a feminine given name commonly used as a diminutive or affectionate form of the name Marie in various European languages.
  • 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_69da6265f8f0819080b29c752a574088 completed April 11, 2026, 3:01 p.m.
NER Named-entity recognition batch_69e667a0075c8190a5c4de53a0caa7f6 completed April 20, 2026, 5:51 p.m.
Created at: April 11, 2026, 11:33 p.m.