Triple
T12530005
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Richard Briers |
E299537
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Briers |
E915694
|
NE FINISHED |
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: Briers | Statement: [Richard Briers, familyName, Briers]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Briers Context triple: [Richard Briers, familyName, Briers]
-
A.
Briers
chosen
Briers is an English surname most notably associated with actors such as Lucy Briers and her father Richard Briers.
-
B.
Sunningdale
Sunningdale is an affluent village in Berkshire, England, known for its prestigious golf courses and leafy residential character.
-
C.
Brookswood
Brookswood is a primarily residential neighbourhood in the Township of Langley, British Columbia, known for its suburban character, schools, and local parks.
-
D.
Woodfieldside
Woodfieldside is a small residential area in South Wales situated near the town of Blackwood in Caerphilly County Borough.
-
E.
Sparkbrook
Sparkbrook is an inner-city district of Birmingham, England, known historically for its industrial growth and later as a diverse, multicultural residential area.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d6ada5cdd48190860d9ce30aff69be |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d95469d100819087c83bc55e3ec9ce |
completed | April 10, 2026, 7:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f64bc674e881908673e1f9103cc8be |
completed | May 2, 2026, 7:08 p.m. |
Created at: April 8, 2026, 9:57 p.m.