Triple

T9485672
Position Surface form Disambiguated ID Type / Status
Subject Tiana’s Bayou Adventure E228753 entity
Predicate featuresCharacter P626 FINISHED
Object Louis E340826 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: Louis | Statement: [Tiana’s Bayou Adventure, featuresCharacter, Louis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Louis
Context triple: [Tiana’s Bayou Adventure, featuresCharacter, Louis]
  • A. Louis chosen
    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 given name of Louis Althusser, a prominent 20th-century French Marxist philosopher known for his structuralist interpretation of Marxism.
  • C. Louis
    Louis is the given name of Louis Armstrong, the legendary American jazz trumpeter and singer.
  • D. Louis
    Louis is the given name of Louis Sullivan, the influential American architect often called the “father of skyscrapers.”
  • E. Louis
    Louis is the family name of Spyridon Louis, the Greek runner who won the first modern Olympic marathon in 1896.
  • 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_69ca84730a5081908de282651019bf2f completed March 30, 2026, 2:10 p.m.
NER Named-entity recognition batch_69cd804fb2b4819084c7f5a842dbe5a6 completed April 1, 2026, 8:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69d12ce37efc81908eee5dd709a574fb completed April 4, 2026, 3:23 p.m.
Created at: March 30, 2026, 7:55 p.m.