Triple

T1639440
Position Surface form Disambiguated ID Type / Status
Subject Wallace Miller E35433 entity
Predicate roleInCourtCase P23470 FINISHED
Object school district official enforcing compulsory education laws 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: school district official enforcing compulsory education laws | Statement: [Wallace Miller, roleInCourtCase, school district official enforcing compulsory education laws]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: roleInCourtCase
Context triple: [Wallace Miller, roleInCourtCase, school district official enforcing compulsory education laws]
  • A. legalCaseRole
    Indicates the specific role or capacity an entity holds within a legal case, such as plaintiff, defendant, judge, or attorney.
  • B. courtRole chosen
    Indicates the specific capacity or position an entity holds within a court proceeding or judicial context.
  • C. judicialRole
    Indicates that one entity holds or performs a specific official function or position within the judicial system in relation to another entity or legal matter.
  • D. legalProfessionRole
    Indicates that one entity holds or performs a specific professional role within the legal domain in relation to another entity or context.
  • E. roleInText
    Indicates that an entity participates in a text with a specific function or capacity (e.g., author, editor, character).
  • 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_69a88604618c81908b41f6429c431eb6 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a96083e7308190abbf025fe8e43abb completed March 5, 2026, 10:52 a.m.
PD Predicate disambiguation batch_69a907cac610819083cafd4396b6d66c completed March 5, 2026, 4:34 a.m.
Created at: March 4, 2026, 7:28 p.m.