Triple

T8008215
Position Surface form Disambiguated ID Type / Status
Subject Kylo Ren E186417 entity
Predicate forceAlignment P80530 FINISHED
Object dark side 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: dark side | Statement: [Kylo Ren, forceAlignment, dark side]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: forceAlignment
Context triple: [Kylo Ren, forceAlignment, dark side]
  • A. alignedAgainst
    Indicates that two or more entities are united in opposition to a common target, side, or objective.
  • B. forceDirection
    Indicates the direction in which a force is applied or exerted in the relationship between entities.
  • C. forceType
    Indicates the specific kind or category of force involved in an interaction or event (e.g., physical, legal, military, or other defined force classifications).
  • D. forceBalance
    Indicates that the net forces acting on an entity or system are in equilibrium, resulting in no overall acceleration.
  • E. forceElement
    Indicates a physical or conceptual force acting upon, influencing, or constraining another element within a system or interaction.
  • F. None of above. chosen

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_69ca82abaffc8190ab8af79cdbc31ab3 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3d6e1c9081909018bcebb18906f6 completed March 31, 2026, 3:20 a.m.
PD Predicate disambiguation batch_69cb048c9f488190b4fb8917a9c21bc5 completed March 30, 2026, 11:17 p.m.
PDg Predicate description generation batch_69cb14bcbbc0819094a98e7ffffb7a40 completed March 31, 2026, 12:26 a.m.
Created at: March 30, 2026, 5:19 p.m.