Triple

T17606849
Position Surface form Disambiguated ID Type / Status
Subject The Crimson Pirate E428854 entity
Predicate castMember P1668 FINISHED
Object Eva Bartok 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: Eva Bartok | Statement: [The Crimson Pirate, castMember, Eva Bartok]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eva Bartok
Context triple: [The Crimson Pirate, castMember, Eva Bartok]
  • A. Eva Bartok chosen
    Eva Bartok was a Hungarian-born British film actress known for her roles in 1950s and 1960s European and British cinema, including thrillers and adventure films.
  • B. Éva Gábor
    Éva Gábor was a Hungarian-American actress, singer, and businesswoman best known for her role as Lisa Douglas on the television sitcom "Green Acres."
  • C. Márta Eggerth
    Márta Eggerth was a Hungarian-born soprano and film actress renowned for her operetta performances in Europe and Hollywood during the 1930s and 1940s.
  • D. Margit Vészi
    Margit Vészi was a Hungarian journalist and writer, known both for her own literary work and as the wife of celebrated playwright Ferenc Molnár.
  • E. Lili Darvas
    Lili Darvas was a Hungarian-born stage and film actress renowned for her work in European theatre and later on Broadway and American television.
  • 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_69d889e1c6148190ba76241e74688f8b completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e46c4ccef08190aeaa88670364bd74 completed April 19, 2026, 5:46 a.m.
Created at: April 10, 2026, 5:51 a.m.