Triple
T21877967
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Batey |
E540201
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Beatty |
—
|
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: Beatty | Statement: [Batey, hasVariant, Beatty]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Beatty Context triple: [Batey, hasVariant, Beatty]
-
A.
Beatty
chosen
Beatty is a surname most famously associated with American actor, director, and producer Warren Beatty.
-
B.
Montillus Murray Beatty
Montillus Murray Beatty was an early settler and prospector in Nevada after whom the town of Beatty was named.
-
C.
Captain Beatty
Captain Beatty is the complex, antagonistic fire chief in Ray Bradbury’s dystopian novel "Fahrenheit 451," known for his intellectual cynicism and defense of book burning.
-
D.
Dexter Pratt
Dexter Pratt was a 19th-century New England resident best known as the real-life blacksmith who inspired the character in Henry Wadsworth Longfellow’s poem “The Village Blacksmith.”
-
E.
Galt
Galt is a historic community now forming part of the city of Cambridge, Ontario, known for its 19th-century architecture and scenic Grand River setting.
- 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_69e0c479a98081908ce333853fdd4348 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f0f33c012c819096d0f7b2ffdc7a2f |
completed | April 28, 2026, 5:49 p.m. |
Created at: April 16, 2026, 7:03 p.m.