Triple

T12138938
Position Surface form Disambiguated ID Type / Status
Subject Cobb E289132 entity
Predicate castMember P1668 FINISHED
Object Lolita Davidovich E819760 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: Lolita Davidovich | Statement: [Cobb, castMember, Lolita Davidovich]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lolita Davidovich
Context triple: [Cobb, castMember, Lolita Davidovich]
  • A. Lolita Davidovich chosen
    Lolita Davidovich is a Canadian actress known for her roles in films such as "Blaze," "Gods and Monsters," and numerous television series.
  • B. Sonia Terk
    Sonia Terk was a pioneering Ukrainian-French artist and designer associated with the Orphism movement, renowned for her vibrant abstract paintings, textiles, and avant-garde fashion.
  • C. Galina Luchai
    Galina Luchai is a Soviet actress best known for her role in the classic 1970 film "White Sun of the Desert."
  • D. Ludmilla Tourischeva
    Ludmilla Tourischeva is a legendary Soviet artistic gymnast and multiple Olympic and world champion renowned for her calm, composed style and dominance in the early 1970s.
  • E. Gretel Bueta
    Gretel Bueta is an elite Australian netballer renowned for her athleticism, versatility in attack, and key role in international competitions for the Diamonds.
  • 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_69d6ab4b5e4c81909950b17151eb0951 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9158eef48819083bdce283a363414 completed April 10, 2026, 3:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f60a7baee88190a32a5a3cd0b8a326 completed May 2, 2026, 2:30 p.m.
Created at: April 8, 2026, 9:49 p.m.