Triple

T18021926
Position Surface form Disambiguated ID Type / Status
Subject Alan Bloch E431140 entity
Predicate countryOfCitizenship P2 FINISHED
Object United States (likely) 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 (likely) | Statement: [Alan Bloch, countryOfCitizenship, United States (likely)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: United States (likely)
Context triple: [Alan Bloch, countryOfCitizenship, United States (likely)]
  • A. USA
    USA is the three-letter International Olympic Committee country code representing the United States of America in international sporting events.
  • B. 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.
  • C. 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.
  • D. EUA
    EUA was the International Olympic Committee country code used for the unified German team that represented athletes from both East and West Germany at the Olympic Games during the Cold War era.
  • E. EUA
    EUA (European University Association) is a major organization representing and supporting higher education institutions and national rectors’ conferences across Europe in areas such as policy, quality assurance, and institutional development.
  • 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_69d8b9050fb48190890155145deb0a66 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4b9c299c48190b0cceecf77cb6de9 completed April 19, 2026, 11:17 a.m.
Created at: April 10, 2026, 10:24 a.m.