Triple
T19494155
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Charles Daubeny |
E487725
|
entity |
| Predicate | hasFamilyName |
P18
|
FINISHED |
| Object | Daubeny |
—
|
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: Daubeny | Statement: [Charles Daubeny, hasFamilyName, Daubeny]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Daubeny Context triple: [Charles Daubeny, hasFamilyName, Daubeny]
-
A.
Daubeny
chosen
Daubeny is an English surname derived from the Norman French family name d’Aubigny.
-
B.
d'Arblay
d'Arblay is a French surname most notably associated with the family of novelist Frances Burney, who married General Alexandre d'Arblay.
-
C.
Molyneaux
Molyneaux is a surname of likely Norman origin borne by various notable individuals, including politicians such as James Molyneaux.
-
D.
Warburton
Warburton is a village in Greater Manchester, England, known for its historic church, toll bridge over the River Mersey, and rural character.
-
E.
Warburton
Warburton is a remote Aboriginal community and township in Western Australia’s Goldfields-Esperance region, serving as a key service and administrative centre for the surrounding desert area.
- 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_69d8e8d9d1c88190b01cd78b8be49384 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6349002788190afe7831d008d440f |
completed | April 20, 2026, 2:13 p.m. |
Created at: April 10, 2026, 1:40 p.m.