Triple

T13196613
Position Surface form Disambiguated ID Type / Status
Subject The Lion King II: Simba’s Pride (soundtrack album) E314126 entity
Predicate featuresCharacter P626 FINISHED
Object Kiara E677877 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: Kiara | Statement: [The Lion King II: Simba’s Pride (soundtrack album), featuresCharacter, Kiara]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kiara
Context triple: [The Lion King II: Simba’s Pride (soundtrack album), featuresCharacter, Kiara]
  • A. Kiara chosen
    Kiara is the lion princess of the Pride Lands and future queen introduced in Disney's "The Lion King II: Simba's Pride."
  • B. Kiana
    Kiana is a feminine given name used in various cultures, often considered a modern variant of names like Kiana or Kianna.
  • C. Anika
    Anika is the first name of Anika Noni Rose, an American actress and singer best known for voicing Tiana in Disney’s "The Princess and the Frog."
  • D. Kyra
    Kyra is a feminine given name most notably borne by American actress and producer Kyra Sedgwick.
  • E. Katisha
    Katisha is a formidable, older noblewoman and comic villainess in Gilbert and Sullivan’s operetta "The Mikado," known for her dramatic presence and unrequited love for Nanki-Poo.
  • 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_69d806ae1e08819090d95bfe1538cc17 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98c626058819086f604b11af2d4eb completed April 10, 2026, 11:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6f605a48c81909373fcd9dd896b3d completed May 3, 2026, 7:15 a.m.
Created at: April 9, 2026, 9:16 p.m.