Triple

T19419263
Position Surface form Disambiguated ID Type / Status
Subject Cape Kidnappers Golf Course E485802 entity
Predicate designer P184 FINISHED
Object Tom Doak 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: Tom Doak | Statement: [Cape Kidnappers Golf Course, designer, Tom Doak]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tom Doak
Context triple: [Cape Kidnappers Golf Course, designer, Tom Doak]
  • A. Tom Doak chosen
    Tom Doak is a renowned American golf course architect celebrated for his minimalist, strategically nuanced designs that emphasize natural landforms and classic design principles.
  • B. Pete Dye
    Pete Dye was a renowned American golf course architect known for his innovative, strategically demanding, and visually striking course designs around the world.
  • C. Tom Fazio
    Tom Fazio is a renowned American golf course architect known for designing numerous high-profile and visually striking courses around the world.
  • D. Rees Jones
    Rees Jones is a prominent American golf course architect renowned for redesigning and preparing major championship venues, earning him the nickname "The Open Doctor."
  • E. Robert Trent Jones Jr.
    Robert Trent Jones Jr. is a prominent American golf course architect known for designing and renovating numerous championship courses worldwide.
  • 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_69d8e8d688f881909c85104a62e09d8a completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e62afbaf0c8190913eda4b04efbe67 completed April 20, 2026, 1:32 p.m.
Created at: April 10, 2026, 1:37 p.m.