Triple

T17948732
Position Surface form Disambiguated ID Type / Status
Subject Mr. Harris E448772 entity
Predicate hasPowerRelation P52773 FINISHED
Object master over George Harris 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: master over George Harris | Statement: [Mr. Harris, hasPowerRelation, master over George Harris]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasPowerRelation
Context triple: [Mr. Harris, hasPowerRelation, master over George Harris]
  • A. governingPowerRelationship chosen
    Indicates a relationship where one entity holds authoritative control, influence, or ruling power over another entity.
  • B. hasPoliticalRelationshipWith
    Indicates a political connection or association between two entities, such as alliances, rivalries, collaborations, or other forms of political interaction.
  • C. hasNeighborRelationshipWith
    Indicates that one entity is located adjacent to or directly next to another entity, sharing a neighbor relationship.
  • D. hasPoliticalPower
    Indicates that one entity holds authority or influence to make, shape, or enforce political decisions over another entity or within a political system.
  • E. strategicRelation
    Indicates a relationship where entities are connected through plans, goals, or coordinated actions intended to achieve long-term or high-level objectives.
  • 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_69d8b9f8cca8819099836916c56b7c95 completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e4afaac780819097434b20b1f155d2 completed April 19, 2026, 10:34 a.m.
PD Predicate disambiguation batch_69e3f8f2bd088190b1e22ad4d9cc8b13 completed April 18, 2026, 9:34 p.m.
Created at: April 10, 2026, 10:21 a.m.