Triple

T11590287
Position Surface form Disambiguated ID Type / Status
Subject Anhalt-Cöthen E274861 entity
Predicate hasCourtOfficial P100472 FINISHED
Object Kapellmeister 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: Kapellmeister | Statement: [Anhalt-Cöthen, hasCourtOfficial, Kapellmeister]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasCourtOfficial
Context triple: [Anhalt-Cöthen, hasCourtOfficial, Kapellmeister]
  • A. courtOfficial
    Indicates that an entity serves in an official capacity within a court, holding an authorized role in judicial or legal proceedings.
  • B. hasJudicialOfficer
    Indicates that an entity is associated with or served by a specific judicial officer (such as a judge or magistrate) responsible for legal or court-related functions.
  • C. hasPrincipalJudge
    Indicates that one entity serves as the main or presiding judge for another entity, such as a court or judicial body.
  • D. hasJudge
    Indicates that a legal case, proceeding, or decision is presided over or decided by a particular judge.
  • E. hasSeniorJudge
    Indicates that one entity is assigned or linked to another entity serving in the role of a senior judge.
  • 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_69d6aae6b14c81908dc5a74bad7591f9 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d894643ae48190837502b713f5b9c6 completed April 10, 2026, 6:10 a.m.
PD Predicate disambiguation batch_69d85dd20d188190863d1190d4c16048 completed April 10, 2026, 2:17 a.m.
PDg Predicate description generation batch_69d87f2e67108190ac36bf47aac12fa8 completed April 10, 2026, 4:40 a.m.
Created at: April 8, 2026, 9:38 p.m.