Triple

T272718
Position Surface form Disambiguated ID Type / Status
Subject Fritz J. Russ E5670 entity
Predicate languageOfWorkOrName P15 FINISHED
Object English E211 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: English | Statement: [Fritz J. Russ, languageOfWorkOrName, English]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: English
Context triple: [Fritz J. Russ, languageOfWorkOrName, English]
  • A. English chosen
    English is a widely spoken West Germanic language that serves as a global lingua franca in education, business, science, and international communication.
  • B. English American
    English American refers to a U.S. resident or citizen of English ancestry, whose heritage traces back to settlers and immigrants from England.
  • C. American English
    American English is the set of English language varieties spoken in the United States, characterized by distinctive pronunciation, vocabulary, and grammar compared to other forms of English.
  • D. British English
    British English is the variety of the English language spoken and written in the United Kingdom, characterized by its own standard spelling, vocabulary, and pronunciation conventions.
  • E. English Language Arts
    English Language Arts is an academic subject area focused on developing students’ skills in reading, writing, speaking, listening, and language analysis in English.
  • 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_69a25853594c8190b05ec3a586ec88bf completed Feb. 28, 2026, 2:52 a.m.
NER Named-entity recognition batch_69a25dcf667c8190a7b8630fe67b9a90 completed Feb. 28, 2026, 3:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69a38f51aeac81908c6d398e650dc315 completed March 1, 2026, 12:58 a.m.
Created at: Feb. 28, 2026, 2:57 a.m.