Triple
T19169736
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mary Dudley |
E469286
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Dudley |
—
|
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: Dudley | Statement: [Mary Dudley, familyName, Dudley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dudley Context triple: [Mary Dudley, familyName, Dudley]
-
A.
Dudley
Dudley is a large industrial town in England’s West Midlands, historically known for its role in the Black Country and its prominent castle and zoo.
-
B.
Dudley
chosen
Dudley is a masculine given name of English origin that has been borne by various notable figures in literature, politics, and entertainment.
-
C.
Reydon
Reydon is a village and civil parish in the English county of Suffolk, located near the coastal town of Southwold.
-
D.
Durley
Durley is a small rural village in Hampshire, England, known for its countryside setting and traditional English character.
-
E.
Waddington
Waddington is a village and civil parish in the North Kesteven district of Lincolnshire, England, known for its proximity to the city of Lincoln and RAF Waddington airbase.
- 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_69d8dd09d5a081909ae43c286651ae5a |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5f162ac648190a5f60c6a77b68304 |
completed | April 20, 2026, 9:26 a.m. |
Created at: April 10, 2026, 12:06 p.m.