Triple

T1143989
Position Surface form Disambiguated ID Type / Status
Subject Max Havelaar E23520 entity
Predicate hasInfluencedAuthors P1994 FINISHED
Object Indonesian writers 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: Indonesian writers | Statement: [Max Havelaar, hasInfluencedAuthors, Indonesian writers]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasInfluencedAuthors
Context triple: [Max Havelaar, hasInfluencedAuthors, Indonesian writers]
  • A. influencedWork chosen
    Indicates that one work has had a significant impact on the creation, style, content, or development of another work.
  • B. hasHistoricalWritingInfluenceFrom
    Indicates that one entity’s historical writing style, content, or traditions are influenced by those of another entity.
  • C. hasInfluenceOnDiscipline
    Indicates that one entity exerts an effect, shaping force, or contributing impact on the development, direction, or state of a particular discipline.
  • D. hasInfluentialStatus
    Indicates that an entity holds a position, role, or condition that gives it significant influence or impact over others or over outcomes.
  • E. hasSubsequentInfluence
    Indicates that one entity has an influence or effect that occurs after, and is causally or temporally downstream from, another entity or event.
  • 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_69a493ef399c8190b04b9146d2314f59 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4bc5008d8819095c1ffb5db5b4911 completed March 1, 2026, 10:23 p.m.
PD Predicate disambiguation batch_69a4bb4d4104819084027a043c6118cb completed March 1, 2026, 10:18 p.m.
Created at: March 1, 2026, 7:44 p.m.