Triple

T5228196
Position Surface form Disambiguated ID Type / Status
Subject Trust in Me E118043 entity
Predicate filmCharacter P12208 FINISHED
Object Kaa E201573 NE FINISHED

How this triple was built (3 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: Kaa | Statement: [Trust in Me, filmCharacter, Kaa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kaa
Context triple: [Trust in Me, filmCharacter, Kaa]
  • A. Kaa chosen
    Kaa is a giant, hypnotic python who serves as a dangerous and manipulative predator in Disney’s live-action adaptation of The Jungle Book.
  • B. Käina
    Käina is a small settlement on the Estonian island of Hiiumaa, known for its coastal landscapes and traditional rural character.
  • C. Kukawa
    Kukawa is a historic town in northeastern Nigeria that once served as the political and cultural center of the Kanuri people and the Bornu Empire.
  • D. Kile
    Kile is a KDE-based integrated LaTeX editor that provides tools for writing, compiling, and previewing LaTeX documents efficiently.
  • E. Kasoa
    Kasoa is a rapidly growing urban town in southern Ghana that serves as a major residential and commercial hub on the outskirts of Accra.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: filmCharacter
Context triple: [Trust in Me, filmCharacter, Kaa]
  • A. featuresCharactersFrom
    Indicates that one entity (such as a work or production) includes or presents characters originating from another entity.
  • B. characterIn chosen
    Indicates that an entity appears as a character within a specified work, story, or narrative.
  • C. featuresCharacterRole
    Indicates that a work includes a character appearing in a specific narrative or functional role.
  • D. fictionalCharacter
    Indicates that one entity is a fictional character that appears within the narrative world of another entity (such as a work, series, or franchise).
  • E. fictionalCharacterFrom
    Indicates that a fictional character originates from, or is created within, a particular work, universe, or source.
  • F. None of above.

Provenance (4 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_69bd4466fb8c819083b806a79414d7e4 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7b0093a88190aba381ba3f761408 completed March 20, 2026, 4:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf10ca0a1c8190a3cc0537886281e5 completed March 21, 2026, 9:42 p.m.
PD Predicate disambiguation batch_69bd77bf1ef08190bb3487b3f3ee088c completed March 20, 2026, 4:37 p.m.
Created at: March 20, 2026, 1:48 p.m.