Triple

T22469870
Position Surface form Disambiguated ID Type / Status
Subject Stephen Katz E555465 entity
Predicate countryOfOrigin P26 FINISHED
Object United States (in-narrative) 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 (in-narrative) | Statement: [Stephen Katz, countryOfOrigin, United States (in-narrative)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: United States (in-narrative)
Context triple: [Stephen Katz, countryOfOrigin, United States (in-narrative)]
  • A. 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.
  • B. USA
    USA is the three-letter International Olympic Committee country code representing the United States of America in international sporting events.
  • 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. US
    US is the commonly used abbreviation for the University of Szczecin, a public higher education institution in Szczecin, Poland.
  • E. US
    US is the commonly used abbreviation for the University of Seville, a major public research university located in Seville, Spain.
  • 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_69e11e52c2048190952dc5df209b9bed completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15bdeae9c8190a5b66e540484db37 completed April 29, 2026, 1:16 a.m.
Created at: April 16, 2026, 8:48 p.m.