Triple

T2884858
Position Surface form Disambiguated ID Type / Status
Subject First Lady E59480 entity
Predicate mayLead P12716 FINISHED
Object national charity initiatives 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: national charity initiatives | Statement: [First Lady, mayLead, national charity initiatives]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: mayLead
Context triple: [First Lady, mayLead, national charity initiatives]
  • A. canLeadTo
    Indicates that one entity, condition, or event has the potential to cause, result in, or bring about another.
  • B. mayHead
    Indicates that an entity is permitted or eligible to serve as the leader or head of another entity.
  • C. mayResultIn chosen
    Indicates that one entity has the potential to cause, lead to, or bring about another entity or outcome, without guaranteeing that it will occur.
  • D. maySign
    Indicates that an entity has the permission or authority to sign a document, agreement, or similar item.
  • E. mayConduct
    Indicates that one entity is permitted or authorized to carry out, perform, or execute a particular action, process, or operation on or with 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_69ab4ac739188190a112f42a5a69c951 completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abe04476588190b0db0880e14c79b5 completed March 7, 2026, 8:22 a.m.
PD Predicate disambiguation batch_69abdd15cbf08190bf7fea5ea516848a completed March 7, 2026, 8:08 a.m.
Created at: March 6, 2026, 10:03 p.m.