Triple

T23515535
Position Surface form Disambiguated ID Type / Status
Subject The Chief E574351 entity
Predicate settingUniverse P16450 FINISHED
Object Get Smart universe 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: Get Smart universe | Statement: [The Chief, settingUniverse, Get Smart universe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Get Smart universe
Context triple: [The Chief, settingUniverse, Get Smart universe]
  • A. Smart Folio (2024)
    Smart Folio (2024) is Apple's updated magnetic cover and stand designed specifically to protect and prop up the 2024 iPad Pro while supporting multiple viewing angles.
  • B. 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.
  • C. Smarta
    Smarta is a Hindu religious tradition that emphasizes the worship of multiple deities as different manifestations of one ultimate reality, often centered on Advaita Vedanta philosophy.
  • D. Smarten
    Smarten was an American Thoroughbred racehorse and successful sire known for producing multiple stakes winners.
  • E. Smart
    Smart is a surname most prominently associated in sports with Shaka Smart, a successful American college basketball coach.
  • 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_69e245bb3dcc8190ba9a2b35972b58d0 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1aa81ab4c8190b85c8f80754020ea completed April 29, 2026, 6:51 a.m.
Created at: April 17, 2026, 6:08 p.m.