Triple

T20516762
Position Surface form Disambiguated ID Type / Status
Subject Because You’re Mine E503700 entity
Predicate starring P1507 FINISHED
Object Celia Lovsky 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: Celia Lovsky | Statement: [Because You’re Mine, starring, Celia Lovsky]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Celia Lovsky
Context triple: [Because You’re Mine, starring, Celia Lovsky]
  • A. Celia Lovsky chosen
    Celia Lovsky was an Austrian-American character actress known for her distinctive roles in mid-20th-century film and television, including a memorable appearance as T’Pau in the original Star Trek series.
  • B. Elena Solovey
    Elena Solovey is a Russian-American actress known for her work in Soviet cinema and later in international films, including a notable role in the drama "The Immigrant."
  • C. Helena Rozhenko
    Helena Rozhenko is a human woman in the Star Trek universe best known as the adoptive mother of the Klingon Starfleet officer Worf.
  • D. Sophia Danko
    Sophia Danko is a young art student and one of the central protagonists in Nicholas Sparks' romance novel "The Longest Ride."
  • E. Elena Kurakina
    Elena Kurakina was a Russian noblewoman of the influential Kurakin family, connected by birth to the prominent Dolgorukov princely line.
  • 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_69e0b4b2aa788190ae9eb37c1d73b1f1 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e69f42db688190a3ccfba5601e8bf3 completed April 20, 2026, 9:48 p.m.
Created at: April 16, 2026, 11:36 a.m.