Triple
T22263419
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Empey |
E550287
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object | Reg Empey |
—
|
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: Reg Empey | Statement: [Empey, hasNotableBearer, Reg Empey]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Reg Empey Context triple: [Empey, hasNotableBearer, Reg Empey]
-
A.
Reg Empey
chosen
Reg Empey is a Northern Irish unionist politician who served as leader of the Ulster Unionist Party and held several ministerial and legislative roles in the region’s devolved government.
-
B.
Jonathan Emery
Jonathan Emery is an actor known for his role in the film "The Iron Mistress."
-
C.
John Emery
John Emery was an American stage, film, and television actor active in the mid-20th century, often cast in sophisticated or villainous supporting roles.
-
D.
Ray Embrey
Ray Embrey is a well-meaning public relations consultant who helps rehabilitate the image of the troubled superhero in the film "Hancock."
-
E.
Emmett Shear
Emmett Shear is an American entrepreneur and technologist best known as the co-founder and former CEO of the live-streaming platform Twitch.
- 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_69e11e42adb8819087714772ea606709 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f141b94a688190b17c55477993a745 |
completed | April 28, 2026, 11:24 p.m. |
Created at: April 16, 2026, 8:39 p.m.