Triple

T6369710
Position Surface form Disambiguated ID Type / Status
Subject Anika Noni Rose E143315 entity
Predicate voiceRole P12691 FINISHED
Object Tiana E285210 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: Tiana | Statement: [Anika Noni Rose, voiceRole, Tiana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tiana
Context triple: [Anika Noni Rose, voiceRole, Tiana]
  • A. Tiana
    Tiana is a small municipality in Catalonia, Spain, located near the coastal city of Barcelona.
  • B. Tiana chosen
    Tiana is a Disney Princess known for her hardworking, ambitious nature and role as the first African-American princess in Disney’s animated film "The Princess and the Frog."
  • C. Tiana Brown
    Tiana Brown is a fictional pop and R&B singer and performer from the television series "Empire," known for her ambitious career and tumultuous relationship with Andre Lyon.
  • D. Dorinda
    Dorinda is a feminine given name, often considered a variant or elaboration of Dorothy, used in various English-speaking cultures.
  • E. Marzelline
    Marzelline is a character in Beethoven's opera "Fidelio," portrayed as the jailer Rocco’s daughter who becomes romantically entangled with the disguised heroine.
  • 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_69c008d8c61081908bcaf61510d881ed completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c068265a7481908571be7ea4ac11b7 completed March 22, 2026, 10:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69c62d8bce3481909b0bf7533b330d1f completed March 27, 2026, 7:11 a.m.
Created at: March 22, 2026, 4:33 p.m.