Triple

T3155084
Position Surface form Disambiguated ID Type / Status
Subject Joseph Ruskin E65964 entity
Predicate notableWork P4 FINISHED
Object Get Smart (TV series) E137465 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: Get Smart (TV series) | Statement: [Joseph Ruskin, notableWork, Get Smart (TV series)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Get Smart (TV series)
Context triple: [Joseph Ruskin, notableWork, Get Smart (TV series)]
  • A. Get Smart chosen
    Get Smart is a 2008 action-comedy film adaptation of the classic TV series, starring Steve Carell as an inept secret agent alongside Anne Hathaway.
  • B. Spin City
    Spin City is an American television sitcom that follows the hectic professional and personal lives of staffers in the New York City mayor’s office.
  • C. Avenue 5
    Avenue 5 is a sci-fi comedy television series set aboard a luxury space cruise ship, created by Armando Iannucci and known for its satirical take on space travel and corporate incompetence.
  • D. Three Smart Girls
    Three Smart Girls is a 1936 American musical comedy film that helped launch Deanna Durbin to stardom and played a key role in revitalizing Universal Pictures’ fortunes.
  • E. Lie to Me
    Lie to Me is an American crime drama television series centered on a deception expert who assists law enforcement by analyzing facial expressions and body language to detect lies.
  • 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_69ad8584485081909ed529e890cadc4a completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada5e97548819084643586fff2e3cb completed March 8, 2026, 4:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69b22503ba208190814ab2bfbe380c42 completed March 12, 2026, 2:29 a.m.
Created at: March 8, 2026, 3:05 p.m.