Triple
T330803
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Preacher's Wife |
E6620
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object | Dudley |
E21380
|
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: Dudley | Statement: [The Preacher's Wife, mainCharacter, Dudley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dudley Context triple: [The Preacher's Wife, mainCharacter, Dudley]
-
A.
Dudley
chosen
Dudley is a masculine given name of English origin that has been borne by various notable figures in literature, politics, and entertainment.
-
B.
Leyland
Leyland is a town in Lancashire, England, historically known for its vehicle manufacturing industry, particularly Leyland Motors.
-
C.
Blackley
Blackley is a suburban area of Manchester, England, known for its residential neighborhoods and proximity to the River Irk and local green spaces.
-
D.
Godalming
Godalming is a historic market town in southeast England known for its picturesque streets, riverside setting, and role as a commuter hub for London.
-
E.
Baguley
Baguley is a suburban area in Wythenshawe, south Manchester, England, known primarily as a residential district with local transport links and amenities.
- 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_69a2e79434908190a9d5afe415153ad9 |
completed | Feb. 28, 2026, 1:03 p.m. |
| NER | Named-entity recognition | batch_69a2eaafd1a48190a6d001af3c2a5318 |
completed | Feb. 28, 2026, 1:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a3e0139e108190b2978216a4bc0a3e |
completed | March 1, 2026, 6:43 a.m. |
Created at: Feb. 28, 2026, 1:08 p.m.