Triple

T5161755
Position Surface form Disambiguated ID Type / Status
Subject The Lion King (stage musical) E116451 entity
Predicate subject P450 FINISHED
Object Simba E173068 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: Simba | Statement: [The Lion King (stage musical), subject, Simba]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Simba
Context triple: [The Lion King (stage musical), subject, Simba]
  • A. Simba chosen
    Simba is the lion prince who becomes king in Disney's animated film "The Lion King," known for his journey from guilt-ridden exile to courageous leader.
  • B. Simba
    Simba is the stage name of Tanzanian singer and songwriter Diamond Platnumz, a leading figure in contemporary Bongo Flava and East African pop music.
  • C. Mufasa
    Mufasa is the wise and noble lion king of the Pride Lands and father of Simba in Disney's The Lion King.
  • D. Tembo
    Tembo are a Bantu-speaking ethnic group primarily inhabiting the eastern region of the Democratic Republic of the Congo, known for their agrarian lifestyle and rich cultural traditions.
  • E. Pumbaa
    Pumbaa is a lovable, flatulent warthog from Disney’s The Lion King, best known as Timon’s carefree companion who helps raise Simba under the “Hakuna Matata” philosophy.
  • 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_69bd445edb3881909b93b34d260717fc completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd79268ea48190a22d3350babc153c completed March 20, 2026, 4:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69bed92eaed88190bfea287da442d376 completed March 21, 2026, 5:45 p.m.
Created at: March 20, 2026, 1:44 p.m.