Triple

T22825071
Position Surface form Disambiguated ID Type / Status
Subject Walter R. Wilder E565630 entity
Predicate placeOfWork P1527 FINISHED
Object United States of America NE NERFINISHED

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: United States of America | Statement: [Walter R. Wilder, placeOfWork, United States of America]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: United States of America
Context triple: [Walter R. Wilder, placeOfWork, United States of America]
  • A. United States of America chosen
    The United States of America is a large federal republic in North America known for its global political, economic, military, and cultural influence.
  • B. Amreeka
    Amreeka is a 2009 independent drama film that follows a Palestinian single mother and her son as they navigate the challenges of immigrant life in small-town America.
  • C. Usa
    Usa is a city in Ōita Prefecture, Japan, known for the historic Usa Jingū Shinto shrine.
  • D. Amerikhastan
    Amerikhastan is a politically charged, fictional nation referenced in Megadeth’s album "United Abominations," symbolizing criticism of U.S. foreign policy and global interventionism.
  • E. USA
    USA is a public research university located in Mobile, Alabama, known for its diverse academic programs and regional impact in the Gulf Coast area.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e24585ab1c81909b2b5065d15805d5 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17dd47ea48190b32b2a7d37d95654 completed April 29, 2026, 3:41 a.m.
Created at: April 17, 2026, 3:34 p.m.