Triple
T22864811
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Randolph Ackerley |
E567021
|
entity |
| Predicate | hasSurname |
P18
|
FINISHED |
| Object | Ackerley |
—
|
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: Ackerley | Statement: [Randolph Ackerley, hasSurname, Ackerley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ackerley Context triple: [Randolph Ackerley, hasSurname, Ackerley]
-
A.
Ackerley
chosen
Ackerley is an English surname most notably associated with the writer and editor J. R. Ackerley.
-
B.
Rackerby
Rackerby is a small unincorporated rural community in Northern California known for its forested surroundings and quiet, sparsely populated setting.
-
C.
Arfield
Arfield is the surname of Scott Arfield, a professional footballer known for playing as a midfielder for clubs such as Burnley and Rangers and representing the Canadian national team.
-
D.
Homersfield
Homersfield is a small village and civil parish on the River Waveney in eastern England, known for its historic bridge and rural Suffolk setting.
-
E.
Bakerville
Bakerville is a small village within the town of New Hartford in Litchfield County, Connecticut.
- 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_69e24589083081908d5694c4fdc80086 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17effd93081909f2c9a8857a8728b |
completed | April 29, 2026, 3:46 a.m. |
Created at: April 17, 2026, 3:38 p.m.