Triple

T4651699
Position Surface form Disambiguated ID Type / Status
Subject Joe Hogan E102307 entity
Predicate barrierFaced P52690 FINISHED
Object sex-based exclusion from a public nursing program 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-based exclusion from a public nursing program | Statement: [Joe Hogan, barrierFaced, sex-based exclusion from a public nursing program]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: barrierFaced
Context triple: [Joe Hogan, barrierFaced, sex-based exclusion from a public nursing program]
  • A. obstacles chosen
    Indicates that one entity presents barriers, hindrances, or impediments that block or restrict another entity’s progress, action, or interaction.
  • B. typicalBarrierType
    Indicates the usual or characteristic type of barrier associated with or used in a given context or situation.
  • C. defacedWith
    Indicates that one entity has been damaged, marred, or vandalized using another entity as the means or material of defacement.
  • D. resistedIn
    Indicates that an entity actively opposed, withstood, or fought against something within a specific context, event, or location.
  • E. facedPressureFrom
    Indicates that one entity experienced coercion, influence, or stress exerted by another entity to act or decide in a certain way.
  • 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_69bd43d71a308190afea7280841b0de8 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd6632708c8190b627d99363ab062c completed March 20, 2026, 3:22 p.m.
PD Predicate disambiguation batch_69bd620fc5e081908325ac8e6a6384ab completed March 20, 2026, 3:04 p.m.
Created at: March 20, 2026, 1:14 p.m.