Triple

T16069832
Position Surface form Disambiguated ID Type / Status
Subject Rodrick Wayne Moore Jr. E389830 entity
Predicate hasGivenName P17 FINISHED
Object Rodrick E509800 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: Rodrick | Statement: [Rodrick Wayne Moore Jr., hasGivenName, Rodrick]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rodrick
Context triple: [Rodrick Wayne Moore Jr., hasGivenName, Rodrick]
  • A. Rodrick chosen
    Rodrick is a masculine given name, typically considered a spelling variant of Roderic or Roderick, used in English-speaking contexts.
  • B. Rodney
    Rodney is the middle name of James R. Schlesinger, a prominent American economist and government official who served as U.S. Secretary of Defense and the first Secretary of Energy.
  • C. Rodney
    Rodney is the costumed ram mascot representing Virginia Commonwealth University’s athletic teams and school spirit.
  • D. Rodney
    Rodney is a masculine given name of English origin commonly used in the United States and other English-speaking countries.
  • E. Rodney
    Rodney is the given first name of Rod Thorn, an American former professional basketball player and longtime NBA executive.
  • 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_69d86daf32ec8190a8c0466c8f49c3c0 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e183bd9578819097e7cb1108b1f6f7 completed April 17, 2026, 12:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffe4827cd48190aa470c6537e72508 completed May 10, 2026, 1:50 a.m.
Created at: April 10, 2026, 4:57 a.m.