Triple

T31856799
Position Surface form Disambiguated ID Type / Status
Subject Adam and Eve E813217 entity
Predicate transgression P32803 FINISHED
Object ate fruit from the tree of the knowledge of good and evil 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: ate fruit from the tree of the knowledge of good and evil | Statement: [Adam and Eve, transgression, ate fruit from the tree of the knowledge of good and evil]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: transgression
Context triple: [Adam and Eve, transgression, ate fruit from the tree of the knowledge of good and evil]
  • A. hasTransgression chosen
    Indicates that one entity has committed, is responsible for, or is associated with a violation, offense, or wrongdoing in relation to another entity or rule.
  • B. violationOf
    Indicates that one entity breaches, disobeys, or infringes upon a rule, law, agreement, or right associated with another entity.
  • C. breach
    Indicates that one party violates, breaks, or fails to uphold an agreed-upon obligation, rule, or boundary in relation to another.
  • D. breaksTaboo
    Indicates that an action or behavior violates a social, cultural, or moral taboo.
  • E. committedCrime
    Indicates that an entity has carried out or been responsible for a criminal act or offense.
  • 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_69f348ebf32881908d9439646933dc76 completed April 30, 2026, 12:19 p.m.
NER Named-entity recognition batch_69fe744faca881908e11e90e0a35653f completed May 8, 2026, 11:39 p.m.
PD Predicate disambiguation batch_69fe734cbf7081909a552c5cf3b5ea59 completed May 8, 2026, 11:35 p.m.
Created at: April 30, 2026, 11:52 p.m.