Triple

T26896114
Position Surface form Disambiguated ID Type / Status
Subject Michelle Horn as Kiara (cub) E677901 entity
Predicate characterAgeStage P99186 FINISHED
Object cub LITERAL 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: cub | Statement: [Michelle Horn as Kiara (cub), characterAgeStage, cub]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: characterAgeStage
Context triple: [Michelle Horn as Kiara (cub), characterAgeStage, cub]
  • A. stageAge
    Indicates the age or developmental period associated with a particular stage in a process, lifecycle, or progression.
  • B. characterAgeDescriptor
    Indicates how a character’s age is qualitatively described or categorized (e.g., young, middle-aged, elderly) rather than given as a specific number.
  • C. fictionalAgeStage chosen
    Indicates the stage or phase of life a fictional character is in within a narrative or imagined context.
  • D. canAge
    Indicates that one entity has the capability or property of undergoing aging over time.
  • E. lifeStage
    Indicates the specific phase or period in an entity’s development or lifecycle that it is currently in.
  • F. None of above.

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_69eee9befee48190a26f214faa867be7 completed April 27, 2026, 4:44 a.m.
NER Named-entity recognition batch_69f739a638748190808e7a2930dce16e completed May 3, 2026, 12:03 p.m.
PD Predicate disambiguation batch_69f732f2dc6c8190a4e86da98cc5eb05 completed May 3, 2026, 11:35 a.m.
Created at: April 27, 2026, 5:48 a.m.