Triple

T2492628
Position Surface form Disambiguated ID Type / Status
Subject Better Make Room E52079 entity
Predicate partOf P40 FINISHED
Object Reach Higher initiative E9516 NE 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: Reach Higher initiative | Statement: [Better Make Room, partOf, Reach Higher initiative]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Reach Higher initiative
Context triple: [Better Make Room, partOf, Reach Higher initiative]
  • A. Be Best initiative
    The Be Best initiative is a public awareness campaign launched by former U.S. First Lady Melania Trump focused on children’s well-being, online safety, and combating opioid abuse.
  • B. Reach Higher chosen
    Reach Higher is an education initiative launched by Michelle Obama to inspire and support young people in pursuing and completing postsecondary education.
  • C. Shaping Us campaign
    The Shaping Us campaign is a public awareness initiative led by Catherine, Princess of Wales, focused on highlighting the critical importance of early childhood development for long-term wellbeing.
  • D. Aim High
    "Aim High" is a song by John Legend from his R&B album *Love in the Future*.
  • E. Upward Bound
    Upward Bound is a U.S. federal TRIO program that provides academic support and college preparation services to low-income and first-generation high school students to help them succeed in postsecondary education.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69ab4955111c8190835bf619adec21ff completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abd192cad08190b13bf8e2d7149199 completed March 7, 2026, 7:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69af2b8429388190a2d1b1610511ea75 completed March 9, 2026, 8:20 p.m.
Created at: March 6, 2026, 9:45 p.m.