Triple
T18000022
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jay Graydon |
E430603
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Graydon |
—
|
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: Graydon | Statement: [Jay Graydon, familyName, Graydon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Graydon Context triple: [Jay Graydon, familyName, Graydon]
-
A.
Graydon
chosen
Graydon is a surname of English and Irish origin borne by various notable individuals, including those in politics, sports, and the arts.
-
B.
Glendenning
Glendenning is a minor character in David Foster Wallace’s unfinished novel "The Pale King," appearing among the ensemble of IRS employees whose lives and inner struggles the book explores.
-
C.
Ridgmont
Ridgmont is a small village and civil parish in Bedfordshire, England, known for its rural character and proximity to the Woburn Estate.
-
D.
Greer
Greer is a surname most notably associated with Hal Greer, a Hall of Fame American basketball player.
-
E.
Greer
Greer is a small city in South Carolina known for its historic downtown, proximity to both Greenville and Spartanburg, and its role as a regional industrial and transportation hub.
- 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_69d8b90364248190a37381adea932f42 |
completed | April 10, 2026, 8:46 a.m. |
| NER | Named-entity recognition | batch_69e4b3e75e908190a6ff6a3ec6069ff5 |
completed | April 19, 2026, 10:52 a.m. |
Created at: April 10, 2026, 10:23 a.m.