Triple

T22196969
Position Surface form Disambiguated ID Type / Status
Subject Lou Duva E548574 entity
Predicate givenName P17 FINISHED
Object Louis 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: Louis | Statement: [Lou Duva, givenName, Louis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Louis
Context triple: [Lou Duva, givenName, Louis]
  • A. Louis
    Louis is the friendly, trumpet-playing alligator who dreams of becoming a jazz musician in Disney's animated film "The Princess and the Frog."
  • B. Louis
    Louis is the family name of Spyridon Louis, the Greek runner who won the first modern Olympic marathon in 1896.
  • C. Louis chosen
    Louis is the given first name of Lou Piniella, a former Major League Baseball outfielder and World Series–winning manager.
  • D. Louis
    Louis is the given name of Louis Bromfield, an American author and early environmental conservationist known for his novels and pioneering work in sustainable agriculture.
  • E. Louis
    Louis was the given name of Louis II, Duke of Bavaria, a medieval German nobleman and regional ruler.
  • 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_69e11e3ecc7c8190b5f94cd8f42e9d37 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f12ae7c72081909b7817d66391bef4 completed April 28, 2026, 9:47 p.m.
Created at: April 16, 2026, 8:35 p.m.