Triple

T500312
Position Surface form Disambiguated ID Type / Status
Subject Whoopi Goldberg E10384 entity
Predicate notableWork P4 FINISHED
Object The Lion King E32171 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: The Lion King | Statement: [Whoopi Goldberg, notableWork, The Lion King]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Lion King
Context triple: [Whoopi Goldberg, notableWork, The Lion King]
  • A. The Lion King chosen
    The Lion King is a landmark 1994 Disney animated film that follows a young lion prince’s journey from exile to kingship and is celebrated for its music, storytelling, and cultural impact.
  • B. Bambi
    Bambi is a classic 1942 animated film produced by Walt Disney that follows the life and coming-of-age of a young deer in the forest.
  • C. Los Leones
    Los Leones is the popular nickname of the Cuban baseball team Industriales, one of the most successful and beloved clubs in the Cuban National Series.
  • D. Lion
    Lion is a 2016 biographical drama film about an Indian boy separated from his family and adopted in Australia who later uses Google Earth to find his way home.
  • E. Fantasia
    Fantasia is a groundbreaking 1940 animated musical film by Walt Disney that combines classical music with innovative animation in a series of imaginative segments.
  • 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_69a2e847df8481909239ec08ccf1e376 completed Feb. 28, 2026, 1:06 p.m.
NER Named-entity recognition batch_69a2f13096248190a622a58dcf540b00 completed Feb. 28, 2026, 1:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69a4984d3a4881909b4bec4c9b7dcd03 completed March 1, 2026, 7:49 p.m.
Created at: Feb. 28, 2026, 1:12 p.m.