Triple

T20417261
Position Surface form Disambiguated ID Type / Status
Subject Sectumsempra E500744 entity
Predicate moralityAssociation P48459 FINISHED
Object Dark Arts usage discouraged at Hogwarts 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 Arts usage discouraged at Hogwarts | Statement: [Sectumsempra, moralityAssociation, Dark Arts usage discouraged at Hogwarts]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: moralityAssociation
Context triple: [Sectumsempra, moralityAssociation, Dark Arts usage discouraged at Hogwarts]
  • A. moralAssociation chosen
    Indicates a perceived ethical or moral connection between entities, such as one influencing or reflecting the moral character, values, or judgment of the other.
  • B. moralConcept
    Indicates that one entity represents or embodies a moral or ethical concept in relation to another.
  • C. moralBelief
    Indicates that an agent holds a normative judgment about what is right, wrong, good, or bad in a given context.
  • D. derivesMoralityFrom
    Indicates that one entity bases or grounds its moral principles, judgments, or ethical framework on another entity.
  • E. moralAttitude
    Indicates a subject’s evaluative stance or judgment about the moral rightness or wrongness of another entity, action, or situation.
  • 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_69e0b4a935588190b9446a99b37ced44 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e67a44ecf48190ba5a3872af500dc8 completed April 20, 2026, 7:11 p.m.
PD Predicate disambiguation batch_69e5766df0008190a73c4f613c29678f completed April 20, 2026, 12:42 a.m.
Created at: April 16, 2026, 11:30 a.m.