Triple

T281195
Position Surface form Disambiguated ID Type / Status
Subject Impressionism E5357 entity
Predicate initialReception P9562 FINISHED
Object controversial 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: controversial | Statement: [Impressionism, initialReception, controversial]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: initialReception
Context triple: [Impressionism, initialReception, controversial]
  • A. hasReception
    Indicates that an entity hosts, includes, or is associated with a reception event (such as a formal gathering or welcoming function).
  • B. receives
    Indicates that one entity is the recipient of something (such as an object, message, or action) from another entity.
  • C. openingInvocation
    Indicates the act of formally beginning an event, process, or sequence through an initiating statement, action, or call.
  • D. introduced
    Indicates that one entity caused another entity to become known, presented, or brought into use for the first time to a person, group, or context.
  • E. primaryInterface
    Indicates that one entity serves as the main or default interface through which another entity is accessed or interacted with.
  • F. None of above. chosen

Provenance (4 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_69a257e6c8788190987dfe705ca2912a completed Feb. 28, 2026, 2:50 a.m.
NER Named-entity recognition batch_69a25e0a23c0819083abee28b2dea49c completed Feb. 28, 2026, 3:16 a.m.
PD Predicate disambiguation batch_69a25b77e028819087e606fc321219f7 completed Feb. 28, 2026, 3:05 a.m.
PDg Predicate description generation batch_69a25e06dd7c8190a8cbb76cee3c6e4b completed Feb. 28, 2026, 3:16 a.m.
Created at: Feb. 28, 2026, 2:59 a.m.