Triple

T17662511
Position Surface form Disambiguated ID Type / Status
Subject Bob Baffert E440286 entity
Predicate trained P3665 FINISHED
Object Silver Charm 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: Silver Charm | Statement: [Bob Baffert, trained, Silver Charm]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Silver Charm
Context triple: [Bob Baffert, trained, Silver Charm]
  • A. Silver Charm chosen
    Silver Charm is a champion American Thoroughbred racehorse best known for winning the 1997 Kentucky Derby and Preakness Stakes and narrowly missing the Triple Crown.
  • B. Silver Night
    Silver Night is a character from the whimsical children's novel "The Land of Green Ginger," known for inhabiting its fantastical, fairy-tale world.
  • C. Silver End
    Silver End is a planned village in Essex, England, originally developed in the 1920s to house workers of the Crittall window factory and noted for its distinctive modernist architecture.
  • D. Silver Lady
    Silver Lady is a nostalgic nickname evoking the streamlined elegance and scenic luxury of the historic California Zephyr passenger train.
  • E. Silver Bell
    Silver Bell is a historic Scottish trophy associated with the Lanark Silver Bell horse race, believed to be one of the oldest racing prizes in the world.
  • 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_69d8b9e87e18819087104a44dc4dc5b1 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e46ea73c90819087a23a7b6171f581 completed April 19, 2026, 5:56 a.m.
Created at: April 10, 2026, 9:48 a.m.