Triple

T26572016
Position Surface form Disambiguated ID Type / Status
Subject State of Alabama ex rel. John Patterson, Attorney General E666851 entity
Predicate relator P191344 FINISHED
Object John Patterson 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: John Patterson | Statement: [State of Alabama ex rel. John Patterson, Attorney General, relator, John Patterson]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: relator
Context triple: [State of Alabama ex rel. John Patterson, Attorney General, relator, John Patterson]
  • A. relatorGeneral
    Indicates a general, non-specific relationship or association between entities that does not fall under a more specialized relation type.
  • B. relatorDefinition
    Indicates that something provides a formal description or specification that defines the nature or meaning of a relationship.
  • C. representative chosen
    Indicates that one entity serves as an official agent or spokesperson acting on behalf of another entity.
  • D. appointedRelative
    Indicates that one entity has formally assigned or designated another entity, who is a relative, to a specific role, position, or responsibility.
  • E. subjectRelation
    Indicates that one entity stands in a specified relational role or connection to 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_69ee9cfa21c081909e4e36e087debfc6 completed April 26, 2026, 11:17 p.m.
NER Named-entity recognition batch_69fe91383a1c81909266e40c3c3ede6c completed May 9, 2026, 1:43 a.m.
PD Predicate disambiguation batch_69fe8fde094081908f0f121664fbb5c7 completed May 9, 2026, 1:37 a.m.
Created at: April 27, 2026, 1:58 a.m.