Triple

T2605272
Position Surface form Disambiguated ID Type / Status
Subject Rudyard Kipling E58642 entity
Predicate famousCharacterCreated P40162 FINISHED
Object Bagheera E197209 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: Bagheera | Statement: [Rudyard Kipling, famousCharacterCreated, Bagheera]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bagheera
Context triple: [Rudyard Kipling, famousCharacterCreated, Bagheera]
  • A. Bagheera chosen
    Bagheera is the wise and protective black panther who mentors and safeguards Mowgli in Disney’s live-action adaptation of The Jungle Book.
  • B. Mufasa
    Mufasa is the wise and noble lion king of the Pride Lands and father of Simba in Disney's The Lion King.
  • C. The Tiger
    The Tiger is the costumed feline mascot that represents Princeton University's athletic teams, particularly its football program.
  • D. Leões
    Leões is the popular nickname for Sporting Clube de Portugal, one of Portugal’s biggest football clubs, symbolizing the team’s lion emblem and fighting spirit.
  • E. 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.
  • 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_69ab4ac3523881909679750c9f8c2dec completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abdd1ca0248190aa15f80b2798524e completed March 7, 2026, 8:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69af83dac58c81908be66bf40c810e3c completed March 10, 2026, 2:37 a.m.
Created at: March 6, 2026, 9:49 p.m.