Triple

T17312211
Position Surface form Disambiguated ID Type / Status
Subject Academy members E420325 entity
Predicate reformEfforts P7268 FINISHED
Object membership diversification initiatives after #OscarsSoWhite 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: membership diversification initiatives after #OscarsSoWhite | Statement: [Academy members, reformEfforts, membership diversification initiatives after #OscarsSoWhite]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: reformEfforts
Context triple: [Academy members, reformEfforts, membership diversification initiatives after #OscarsSoWhite]
  • A. hasReformEffort chosen
    Indicates that an entity undertakes, is involved in, or is the subject of a deliberate effort to change, improve, or restructure a system, policy, or practice.
  • B. relatedReforms
    Indicates that one reform is connected or associated with another reform, typically through shared goals, content, or impact.
  • C. associatedReforms
    Indicates a relationship where certain reforms are linked or connected to a given entity, such as a policy, event, or individual.
  • D. reform
    Indicates bringing about significant changes to an existing system, practice, or entity in order to improve or correct it.
  • E. advocatedReformOf
    Indicates that one entity publicly supported or promoted changes to another entity, typically aiming to improve or modify its structure, policies, or practices.
  • 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_69d889d22b848190a4663d0b8f8f76e7 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e439993bac8190a72f6af529bd7cce completed April 19, 2026, 2:10 a.m.
PD Predicate disambiguation batch_69e3b01b9d1c8190a406dd941c9b11a1 completed April 18, 2026, 4:23 p.m.
Created at: April 10, 2026, 5:43 a.m.