Triple

T334284
Position Surface form Disambiguated ID Type / Status
Subject Will Rogers E6689 entity
Predicate name P16 FINISHED
Object Will Rogers E6689 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: Will Rogers | Statement: [Will Rogers, name, Will Rogers]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Will Rogers
Context triple: [Will Rogers, name, Will Rogers]
  • A. Will Rogers chosen
    Will Rogers was a famed early 20th-century American humorist, social commentator, and vaudeville and film star known for his folksy wit and political satire.
  • B. W. G. Snuffy Walden
    W. G. Snuffy Walden is an American musician and television composer best known for creating memorable scores for acclaimed TV dramas such as The West Wing, thirtysomething, and The Wonder Years.
  • C. Curly McLain
    Curly McLain is the charming cowboy protagonist of the classic Rodgers and Hammerstein musical "Oklahoma!"
  • D. A. H. Johnson
    A. H. Johnson was one of the climbers credited with making the first recorded ascent of Mount Whitney, the highest peak in the contiguous United States.
  • E. Charlie Kelly
    Charlie Kelly is a dim-witted yet oddly resourceful janitor and co-owner of Paddy’s Pub on the sitcom "It’s Always Sunny in Philadelphia," known for his chaotic behavior and bizarre schemes.
  • 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_69a2e79434908190a9d5afe415153ad9 completed Feb. 28, 2026, 1:03 p.m.
NER Named-entity recognition batch_69a2eac641708190b85fa21368e5de8e completed Feb. 28, 2026, 1:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69a3d247650481909006cc27bfa385e3 completed March 1, 2026, 5:44 a.m.
Created at: Feb. 28, 2026, 1:08 p.m.