Triple

T1839861
Position Surface form Disambiguated ID Type / Status
Subject Wesley Addy E41149 entity
Predicate givenName P17 FINISHED
Object Wesley E41148 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: Wesley | Statement: [Wesley Addy, givenName, Wesley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wesley
Context triple: [Wesley Addy, givenName, Wesley]
  • A. Wesley chosen
    Wesley is a masculine given name of English origin, traditionally used in English-speaking countries.
  • B. John Wesley
    John Wesley was an 18th-century Anglican cleric and theologian who founded Methodism and became a central figure in the rise of modern evangelical Christianity.
  • C. Samuel Church
    Samuel Church is a notable individual who bears the English surname "Church," recognized for his significance among people with that family name.
  • D. Elisha Whittlesey
    Elisha Whittlesey was a 19th-century American lawyer and politician from Ohio who served in the U.S. House of Representatives and later held key federal financial oversight roles.
  • E. John Luther
    John Luther is a brilliant but tormented London detective from the British crime drama series "Luther," known for his obsessive pursuit of justice and morally ambiguous methods.
  • 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_69a88647f9388190909bc36e795bdaec completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb03b3eb08190ae68d8476fc89c7f completed March 7, 2026, 4:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69adc9bb92a88190a00b102d3be0383c completed March 8, 2026, 7:10 p.m.
Created at: March 4, 2026, 7:33 p.m.