Triple

T3306796
Position Surface form Disambiguated ID Type / Status
Subject Władysław Ślewiński E69469 entity
Predicate notableWorkCharacteristic P25412 FINISHED
Object flattened forms 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: flattened forms | Statement: [Władysław Ślewiński, notableWorkCharacteristic, flattened forms]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: notableWorkCharacteristic
Context triple: [Władysław Ślewiński, notableWorkCharacteristic, flattened forms]
  • A. notableWork
    Indicates that one entity is a significant or well-known work (such as a book, artwork, or creation) produced by another entity.
  • B. notableWorkStyle chosen
    Indicates a stylistic characteristic or distinctive manner associated with a notable work created by the subject.
  • C. notableTypeOfWork
    Indicates that a work is a significant or defining example within a particular type or category of work associated with an entity.
  • D. notableWorkIn
    Indicates that an entity is known for or associated with a significant work, contribution, or achievement in a particular field or context.
  • E. notableWorkWith
    Indicates a relationship where two or more entities are recognized for having collaborated on or been jointly associated with a significant work or project.
  • 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_69ad859f218081909458d2cebbf57565 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb0caa0988190872fc7648e64571f completed March 8, 2026, 5:24 p.m.
PD Predicate disambiguation batch_69ada42625308190be257f16a623a410 completed March 8, 2026, 4:30 p.m.
Created at: March 8, 2026, 3:11 p.m.