Triple

T31419263
Position Surface form Disambiguated ID Type / Status
Subject Midnight Suns (video game) E801484 entity
Predicate hasMoralitySystem P195399 FINISHED
Object light-dark alignment 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: light-dark alignment | Statement: [Midnight Suns (video game), hasMoralitySystem, light-dark alignment]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasMoralitySystem
Context triple: [Midnight Suns (video game), hasMoralitySystem, light-dark alignment]
  • A. hasMoralStrategy
    Indicates that an entity employs or follows a particular approach or set of principles for making moral or ethical decisions.
  • B. hasMoralComplexity
    Indicates that the relationship or action involves nuanced ethical considerations, conflicting values, or ambiguity in determining what is morally right or wrong.
  • C. hasMoralCode
    Indicates that an entity adheres to or is guided by a set of moral principles or ethical rules.
  • D. hasMoralCharacteristic
    Indicates that an entity possesses a particular moral quality, trait, or ethical attribute.
  • E. hasMoralArchetype
    Indicates that an entity exemplifies or is characterized by a particular moral pattern, role, or ethical archetype.
  • 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_69f348c26f048190b4adadd71b4596c5 completed April 30, 2026, 12:19 p.m.
NER Named-entity recognition batch_69fdd07a34c08190982b8c61c2775cf6 completed May 8, 2026, noon
PD Predicate disambiguation batch_69fdbd25c7908190b72fca8de7ce503f completed May 8, 2026, 10:38 a.m.
PDg Predicate description generation batch_69fdd07724f88190a33ec602642d2ea3 completed May 8, 2026, noon
Created at: April 30, 2026, 8:46 p.m.