Triple
T21077146
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tom Fazio |
E519267
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Tom Fazio |
—
|
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 Fazio | Statement: [Tom Fazio, name, Tom Fazio]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tom Fazio Context triple: [Tom Fazio, name, Tom Fazio]
-
A.
Tom Fazio
chosen
Tom Fazio is a renowned American golf course architect known for designing numerous high-profile and visually striking courses around the world.
-
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.
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.
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.
-
E.
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.
- 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_69e0b506e59c8190849b71ed07929215 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e702d77b8081908ecfb05ab391fd39 |
completed | April 21, 2026, 4:53 a.m. |
Created at: April 16, 2026, 2:49 p.m.