Triple

T21253764
Position Surface form Disambiguated ID Type / Status
Subject Kenan Memorial Stadium E523811 entity
Predicate namedAfter P63 FINISHED
Object William R. Kenan Jr. 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: William R. Kenan Jr. | Statement: [Kenan Memorial Stadium, namedAfter, William R. Kenan Jr.]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: William R. Kenan Jr.
Context triple: [Kenan Memorial Stadium, namedAfter, William R. Kenan Jr.]
  • A. William Rand Kenan Jr. chosen
    William Rand Kenan Jr. was an American chemist, industrialist, and philanthropist who became a major benefactor of the University of North Carolina and other educational institutions.
  • B. James Kenan
    James Kenan was an American Revolutionary War officer and influential North Carolina politician and planter from a prominent early Southern family.
  • C. Alfred N. Beadleston
    Alfred N. Beadleston was an American Republican politician who served as President of the New Jersey Senate in the mid-20th century.
  • D. James B. Erwin
    James B. Erwin was a prominent local figure in North Carolina, likely a landowner or community leader, after whom the town of Erwin was named.
  • E. Kenneth L. Bowles
    Kenneth L. Bowles was an American computer scientist and educator best known for his pioneering work in software systems and programming environments at the University of California, San Diego.
  • 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_69e0b5146c108190adc9adb73e90abff completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e735a0391881908e45909e939415a5 completed April 21, 2026, 8:30 a.m.
Created at: April 16, 2026, 3:57 p.m.