Triple

T20269581
Position Surface form Disambiguated ID Type / Status
Subject Rafiki E499058 entity
Predicate appearsIn P795 FINISHED
Object The Lion Guard 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: The Lion Guard | Statement: [Rafiki, appearsIn, The Lion Guard]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Lion Guard
Context triple: [Rafiki, appearsIn, The Lion Guard]
  • A. The Lion Guard chosen
    The Lion Guard is an animated Disney television series and film franchise that follows Kion, the son of Simba, as he leads a team of young animals to protect the Pride Lands.
  • B. King of the Pride Lands
    King of the Pride Lands is the royal title held by the ruling lion who governs the Pride Lands in Disney's The Lion King universe.
  • C. Giants of the Savanna
    Giants of the Savanna is an immersive, mixed-species African habitat at the Dallas Zoo that features animals such as elephants, giraffes, and lions in a savanna-like environment.
  • D. Mufasa's pride
    Mufasa's pride is the royal lion family and their close kin who rule and protect the Pride Lands in Disney's The Lion King.
  • E. Azizi (The Lion King 2019)
    Azizi is a comedic hyena character in the 2019 remake of The Lion King who serves as one of Scar’s bumbling henchmen alongside Kamari.
  • 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_69da6275fa6c8190952924930adee150 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e675dc8e708190b840d687f134c9e8 completed April 20, 2026, 6:52 p.m.
Created at: April 11, 2026, 11:42 p.m.