Triple

T6162093
Position Surface form Disambiguated ID Type / Status
Subject Get Smart E137465 entity
Predicate producer P490 FINISHED
Object Alex Gartner E188863 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: Alex Gartner | Statement: [Get Smart, producer, Alex Gartner]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alex Gartner
Context triple: [Get Smart, producer, Alex Gartner]
  • A. Alex Gartner chosen
    Alex Gartner is a film producer known for his work on major Hollywood projects, including the action thriller "Triple Frontier."
  • B. Michael Alfred Gartner
    Michael Alfred Gartner is a Canadian former professional ice hockey right winger and Hockey Hall of Famer known for his exceptional speed and goal-scoring consistency in the NHL.
  • C. Mark Gardner
    Mark Gardner is a name shared by several notable individuals, including a former Major League Baseball pitcher and a professional ice hockey coach.
  • D. Glenn Shadix
    Glenn Shadix was an American character actor best known for his eccentric roles in films like "Beetlejuice" and various voice performances in animated works.
  • E. Johnny Gandelsman
    Johnny Gandelsman is a Grammy-winning violinist and producer known for his work with ensembles like Brooklyn Rider and the Silk Road Ensemble, as well as for his innovative solo projects.
  • 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_69c008a54fc88190b6ce4416490ca79d completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c05d371484819090c18b62b095b49e completed March 22, 2026, 9:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69c5e3cbf914819086c9553904aee0e5 completed March 27, 2026, 1:56 a.m.
Created at: March 22, 2026, 4:17 p.m.