Triple

T13936462
Position Surface form Disambiguated ID Type / Status
Subject Lord of Hautdesert E335132 entity
Predicate hasTitleHolderMoralAlignment P79309 FINISHED
Object ambiguous but ultimately benevolent 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: ambiguous but ultimately benevolent | Statement: [Lord of Hautdesert, hasTitleHolderMoralAlignment, ambiguous but ultimately benevolent]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasTitleHolderMoralAlignment
Context triple: [Lord of Hautdesert, hasTitleHolderMoralAlignment, ambiguous but ultimately benevolent]
  • A. characterAlignment
    Indicates the moral or ethical stance a character holds, typically along axes such as good–evil and lawful–chaotic.
  • B. hasMoralCharacteristic
    Indicates that an entity possesses a particular moral quality, trait, or ethical attribute.
  • C. hasTitleHolder
    Indicates that one entity is the current or designated holder of a specific title, position, or honor associated with another entity.
  • D. hasMoralCode
    Indicates that an entity adheres to or is guided by a set of moral principles or ethical rules.
  • E. hasMoralComplexity chosen
    Indicates that the relationship or action involves nuanced ethical considerations, conflicting values, or ambiguity in determining what is morally right or wrong.
  • 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_69d81c5f739081908bc05b2461f54828 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2cf42878819085146670d7b92605 completed April 14, 2026, 12:03 p.m.
PD Predicate disambiguation batch_69dbc873052c8190b33ff7f7c5a4e7ee completed April 12, 2026, 4:29 p.m.
Created at: April 9, 2026, 10:17 p.m.