Triple

T22989593
Position Surface form Disambiguated ID Type / Status
Subject The Pete Dye Course at French Lick E572008 entity
Predicate namedAfter P63 FINISHED
Object Pete Dye 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: Pete Dye | Statement: [The Pete Dye Course at French Lick, namedAfter, Pete Dye]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pete Dye
Context triple: [The Pete Dye Course at French Lick, namedAfter, Pete Dye]
  • A. Pete Dye chosen
    Pete Dye was a renowned American golf course architect known for his innovative, strategically demanding, and visually striking course designs around the world.
  • B. Tom Fazio
    Tom Fazio is a renowned American golf course architect known for designing numerous high-profile and visually striking courses around the world.
  • C. Robert Trent Jones Jr.
    Robert Trent Jones Jr. is a prominent American golf course architect known for designing and renovating numerous championship courses worldwide.
  • D. Robert Trent Jones Sr.
    Robert Trent Jones Sr. was a prominent 20th-century golf course architect renowned for designing and remodeling hundreds of championship courses worldwide.
  • E. Tom Doak
    Tom Doak is a renowned American golf course architect celebrated for his minimalist, strategically nuanced designs that emphasize natural landforms and classic design principles.
  • 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_69e245b535808190adef8a9df3c584db completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f182ea55cc8190b64b722ce8c45b53 completed April 29, 2026, 4:02 a.m.
Created at: April 17, 2026, 3:49 p.m.