Triple

T1973975
Position Surface form Disambiguated ID Type / Status
Subject Sebastian Rudolph E42864 entity
Predicate hasNotableRoleType P22252 FINISHED
Object historical roles 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: historical roles | Statement: [Sebastian Rudolph, hasNotableRoleType, historical roles]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasNotableRoleType
Context triple: [Sebastian Rudolph, hasNotableRoleType, historical roles]
  • A. hasNotableRoleIn
    Indicates that an entity holds a significant or noteworthy role or function within another entity, event, work, or context.
  • B. hasNotablePosition chosen
    Indicates that an entity holds or has held a position, role, or office considered notable or significant.
  • C. hasRole
    Indicates that an entity occupies, performs, or is assigned a specific role or function in relation to another entity or context.
  • D. hasNotableOwner
    Indicates that an entity is or has been owned by a person or organization considered notable or significant.
  • E. hasContactRole
    Indicates that an entity serves in a specific role or capacity as a contact for another entity.
  • 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_69a8871289048190b00b0d7744b7b2b1 completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb3f6c4208190a41e02733faed8df completed March 7, 2026, 5:13 a.m.
PD Predicate disambiguation batch_69abaff9a09c8190a81fa13f4b85bc79 completed March 7, 2026, 4:56 a.m.
Created at: March 4, 2026, 7:36 p.m.