Triple

T14843345
Position Surface form Disambiguated ID Type / Status
Subject True-Life Adventures series E349021 entity
Predicate notableWork P4 FINISHED
Object The African Lion E350629 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 African Lion | Statement: [True-Life Adventures series, notableWork, The African Lion]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The African Lion
Context triple: [True-Life Adventures series, notableWork, The African Lion]
  • A. The African Lion chosen
    The African Lion is a 1955 nature documentary film produced by Walt Disney that follows the lives and behavior of lions and other wildlife on the African savanna.
  • B. 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.
  • C. Lion
    Lion is a mysterious, magical pink lion who serves as a companion and guardian to Steven in the animated series "Steven Universe."
  • D. Lion
    The lion is a large, social big cat native to Africa and parts of India, known for its strength, pride-based groups, and iconic status as a symbol of courage and leadership.
  • E. Lion
    Lion is a major Australasian beverage company known for producing and distributing a wide range of beer, wine, and dairy products.
  • 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_69d822ec69008190a9232caa68836872 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69ded28fa49c81908d1059e6cafd607f completed April 14, 2026, 11:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe7e7de2c08190abf827376cd415ba completed May 9, 2026, 12:23 a.m.
Created at: April 10, 2026, 1:53 a.m.