Triple

T9996377
Position Surface form Disambiguated ID Type / Status
Subject King Louie (2016 film character) E197211 entity
Predicate interactsWith P3970 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: [King Louie (2016 film character), interactsWith, Bagheera]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bagheera
Context triple: [King Louie (2016 film character), interactsWith, 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. The Tiger
    The Tiger is the costumed tiger character that serves as the spirited athletic mascot for Clemson University’s sports teams.
  • E. panther Bagheera
    Panther Bagheera is the wise and protective black panther who mentors and safeguards Mowgli in Rudyard Kipling’s "The Jungle Book."
  • 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_69ca82f3b61c81908ecc2c1c96dbc2e4 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdcb9af6a88190942cc4991bd373c1 completed April 2, 2026, 1:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69d299f2a8908190a3a483350af0b5a9 completed April 5, 2026, 5:20 p.m.
Created at: March 30, 2026, 8:50 p.m.