Triple

T31140071
Position Surface form Disambiguated ID Type / Status
Subject Aphrodite and Artemis E793755 entity
Predicate contrastsRoleOf P11289 FINISHED
Object Aphrodite as goddess of love and sexuality 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: Aphrodite as goddess of love and sexuality | Statement: [Aphrodite and Artemis, contrastsRoleOf, Aphrodite as goddess of love and sexuality]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: contrastsRoleOf
Context triple: [Aphrodite and Artemis, contrastsRoleOf, Aphrodite as goddess of love and sexuality]
  • A. comparativeRole
    Indicates a relationship where one entity’s role is compared to another’s in terms of level, importance, or function.
  • B. exploresContrastBetween
    Indicates a relationship in which one entity examines, highlights, or analyzes the differences or oppositions between two or more entities, ideas, or situations.
  • C. criticizedRoleOf
    Indicates that one entity expressed disapproval or negative judgment about the function, position, or responsibilities of another entity.
  • D. contrastWithActorTypicalRoles
    Indicates that an actor’s role in a given work is notably different from the types of roles they are typically known for playing.
  • E. oftenContrastedWith chosen
    Indicates that one entity is frequently compared to another in a way that highlights their differences or opposing characteristics.
  • 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_69f224d2b3a48190aa9dd26fbf6eab1a completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69fd8e5f7c4c8190ab8e2f2a7bb1bd79 completed May 8, 2026, 7:18 a.m.
PD Predicate disambiguation batch_69fd8d8a16f08190b9e880901bfa44fe completed May 8, 2026, 7:15 a.m.
Created at: April 29, 2026, 9:05 p.m.