Triple

T16356896
Position Surface form Disambiguated ID Type / Status
Subject Evolution of Verse E397203 entity
Predicate creativeGoal P52033 FINISHED
Object to explore the potential of VR as a cinematic medium 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: to explore the potential of VR as a cinematic medium | Statement: [Evolution of Verse, creativeGoal, to explore the potential of VR as a cinematic medium]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: creativeGoal
Context triple: [Evolution of Verse, creativeGoal, to explore the potential of VR as a cinematic medium]
  • A. goals
    Indicates that an entity has objectives, targets, or desired outcomes it aims to achieve.
  • B. goalType
    Indicates the specific category or nature of a goal associated with an entity or action.
  • C. goalSettingRole
    Indicates a role in which an entity is responsible for defining, influencing, or managing goals for another entity or process.
  • D. narrativeGoal
    Indicates that one entity has a desired outcome or objective within a story or narrative context that drives their actions or development.
  • E. goalDescription chosen
    Indicates that an entity expresses, specifies, or provides a textual description of a goal or intended outcome associated with another entity or activity.
  • 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_69d87f2778dc8190aa95c7572db127e6 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e2facf67e0819089a23ce6f5642fbe completed April 18, 2026, 3:30 a.m.
PD Predicate disambiguation batch_69e226f37ecc819082af58b29b4e39d1 completed April 17, 2026, 12:26 p.m.
Created at: April 10, 2026, 5:07 a.m.