Triple

T26122480
Position Surface form Disambiguated ID Type / Status
Subject Geraldine Cannon E659009 entity
Predicate legalActionConcerned P71081 FINISHED
Object sex discrimination in university admissions 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: sex discrimination in university admissions | Statement: [Geraldine Cannon, legalActionConcerned, sex discrimination in university admissions]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: legalActionConcerned
Context triple: [Geraldine Cannon, legalActionConcerned, sex discrimination in university admissions]
  • A. legalActionReason
    Indicates the reason, cause, or grounds for which a particular legal action is initiated or taken.
  • B. legalActionFiled
    Indicates that a formal legal proceeding or complaint has been officially initiated with the appropriate authority or court.
  • C. legalCaseRelatedTo
    Indicates that there is a relevant connection or association between a legal case and another entity, such as a person, organization, event, or legal matter.
  • D. legalMatters chosen
    Indicates that one entity is involved with, concerned about, or responsible for legal issues, processes, or obligations related to another entity or context.
  • E. legalAct
    Indicates that an entity performs, enacts, or is involved in a formal legal action, measure, or proceeding under a legal framework.
  • 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_69ee5bc2b2948190b458ad3f580af779 completed April 26, 2026, 6:38 p.m.
NER Named-entity recognition batch_69f6fb19063c81909466b329655c8583 completed May 3, 2026, 7:36 a.m.
PD Predicate disambiguation batch_69f6f969b4cc8190afb473a2d8b110bc completed May 3, 2026, 7:29 a.m.
Created at: April 26, 2026, 8:09 p.m.