Triple

T21921676
Position Surface form Disambiguated ID Type / Status
Subject Aladdin (TV series) E541329 entity
Predicate characterVoiced P13156 FINISHED
Object Genie 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: Genie | Statement: [Aladdin (TV series), characterVoiced, Genie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Genie
Context triple: [Aladdin (TV series), characterVoiced, Genie]
  • A. Genie chosen
    Genie is a powerful, wisecracking magical being from Disney's animated film "Aladdin," best known for granting wishes and his energetic, comedic personality.
  • B. Lili
    Lili is a 1953 musical fantasy film starring Leslie Caron as a naive orphan who joins a carnival and forms a touching bond with a puppeteer.
  • C. Lili
    Lili is the official mascot character created for the 2017 World Aquatics Championships held in Budapest.
  • D. Lili
    Lili is a historic canal town in Wujiang District, Jiangsu Province, known for its traditional waterways, ancient bridges, and well-preserved Jiangnan architecture.
  • E. Nana
    "Nana" is a popular hit single by Tanzanian Bongo Flava artist Diamond Platnumz, known for its romantic theme and widespread success across East Africa.
  • 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_69e0c47d74488190a15119108794a307 completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f1233c29008190b84ae551b14eb2db completed April 28, 2026, 9:14 p.m.
Created at: April 16, 2026, 7:45 p.m.