Triple

T35943469
Position Surface form Disambiguated ID Type / Status
Subject The Man Who Cheated Himself universe E1039518 entity
Predicate moralLandscape P29043 FINISHED
Object cynical view of law enforcement 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: cynical view of law enforcement | Statement: [The Man Who Cheated Himself universe, moralLandscape, cynical view of law enforcement]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: moralLandscape
Context triple: [The Man Who Cheated Himself universe, moralLandscape, cynical view of law enforcement]
  • A. moralPhilosophy
    Indicates a relationship where an entity is concerned with, studies, or is characterized by principles, theories, or systems of moral philosophy or ethics.
  • B. derivesMoralityFrom
    Indicates that one entity bases or grounds its moral principles, judgments, or ethical framework on another entity.
  • C. moralTrajectory
    Indicates the direction and pattern of change in an entity’s moral behavior or ethical stance over time.
  • D. hasMoralPerspective chosen
    Indicates that an entity holds or applies a particular moral or ethical viewpoint in evaluating actions, situations, or other entities.
  • E. moralBelief
    Indicates that an agent holds a normative judgment about what is right, wrong, good, or bad in a given context.
  • 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_69f76e24bbd0819096b837d35371639a completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69f7b69b333081909cadbed3fcb8ecf5 completed May 3, 2026, 8:56 p.m.
PD Predicate disambiguation batch_69f7b4c2a5f8819094ad4621d7b97e0c completed May 3, 2026, 8:49 p.m.
Created at: May 3, 2026, 4:07 p.m.