Triple

T5831071
Position Surface form Disambiguated ID Type / Status
Subject Alexandra Yatsko E129346 entity
Predicate notableWork P4 FINISHED
Object Love, Antosha E116021 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: Love, Antosha | Statement: [Alexandra Yatsko, notableWork, Love, Antosha]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Love, Antosha
Context triple: [Alexandra Yatsko, notableWork, Love, Antosha]
  • A. Love, Antosha chosen
    Love, Antosha is a 2019 documentary film that chronicles the life and career of actor Anton Yelchin through home videos, interviews, and personal writings.
  • B. The Russian Bride
    "The Russian Bride" is a work associated with British actress and author Sheila Hancock, likely a novel or written piece reflecting her storytelling and dramatic sensibilities.
  • C. L’Amour fou
    L’Amour fou is a seminal Surrealist text by André Breton that explores the concept of mad love as a revolutionary force in art and life.
  • D. الدهناء
    الدهناء هي صحراء رملية طويلة وضيقة في وسط شبه الجزيرة العربية تُعد من أبرز الصحارى السعودية التي تربط بين صحراء النفود الكبير والربع الخالي.
  • E. Gorky Park
    Gorky Park is a famous central Moscow park known for its recreational facilities, cultural events, and scenic riverside location.
  • 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_69c00849d55481908b4f9f5543e0bf6d completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c0346ac31c8190bbd28444f75da875 completed March 22, 2026, 6:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0a18c48588190b4848dff1c277079 completed March 23, 2026, 2:12 a.m.
Created at: March 22, 2026, 3:54 p.m.