Triple

T31082773
Position Surface form Disambiguated ID Type / Status
Subject Princess Romanovskaya-Krasinskaya E792146 entity
Predicate titleHolderCompanionOf P196288 FINISHED
Object Nicholas II of Russia NE NERFINISHED

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: Nicholas II of Russia | Statement: [Princess Romanovskaya-Krasinskaya, titleHolderCompanionOf, Nicholas II of Russia]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: titleHolderCompanionOf
Context triple: [Princess Romanovskaya-Krasinskaya, titleHolderCompanionOf, Nicholas II of Russia]
  • A. titleHolderRelationship
    Indicates a relationship where one entity holds, possesses, or bears a specific title in connection to another entity or context.
  • B. titleHolderIs
    Indicates that one entity currently holds or possesses a specific title associated with another entity.
  • C. titleHolderIsUsually
    Indicates that an entity serving as a title holder is typically or most commonly a particular type or category of entity.
  • D. titleHolderSibling
    Indicates that one entity is the sibling of another entity who holds a particular title or position.
  • E. titleHolderBelongsTo
    Indicates that the holder of a title is associated with or belongs to a particular entity, such as an organization, position, or domain.
  • 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_69f224ce48348190bd0fc23f656ed683 completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69fe1fd637c08190aa95cd2478c278cb completed May 8, 2026, 5:39 p.m.
PD Predicate disambiguation batch_69fe19344bb481909b5e2144155e4add completed May 8, 2026, 5:11 p.m.
PDg Predicate description generation batch_69fe1fd58ad8819093d3d705e8521014 completed May 8, 2026, 5:39 p.m.
Created at: April 29, 2026, 9:02 p.m.