Triple

T2597903
Position Surface form Disambiguated ID Type / Status
Subject Peyton Manning E58274 entity
Predicate givenName P17 FINISHED
Object Peyton E132632 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: Peyton | Statement: [Peyton Manning, givenName, Peyton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Peyton
Context triple: [Peyton Manning, givenName, Peyton]
  • A. Peyton chosen
    Peyton is a given name most famously borne by Peyton Randolph, the first president of the Continental Congress in early American history.
  • B. Riley
    Riley is a surname most famously associated with Pat Riley, the legendary NBA coach and executive.
  • C. Addison Richards
    Addison Richards was an American character actor known for his prolific work in film and early television during the 1930s–1950s.
  • D. Owen Lassiter
    Owen Lassiter is a fictional former U.S. president in the television series "The West Wing," known as Josiah Bartlet’s Republican predecessor in the White House.
  • E. Dill Harris
    Dill Harris is a curious and imaginative friend of Scout and Jem Finch in Harper Lee's novel "To Kill a Mockingbird," symbolizing childhood innocence and fascination with the mysterious Boo Radley.
  • 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_69ab4ac14040819098b13f4a27d5c8ff completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abd4548b1081909d28f88ea5e14202 completed March 7, 2026, 7:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69af83cc45f8819099d581725a53e527 completed March 10, 2026, 2:37 a.m.
Created at: March 6, 2026, 9:49 p.m.