Triple
T13036990
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Robert Hichens |
E326586
|
entity |
| Predicate | placeOfBirth |
P1
|
FINISHED |
| Object | Speldhurst |
E224137
|
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: Speldhurst | Statement: [Robert Hichens, placeOfBirth, Speldhurst]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Speldhurst Context triple: [Robert Hichens, placeOfBirth, Speldhurst]
-
A.
Speldhurst
chosen
Speldhurst is a rural village and civil parish in Kent, England, known for its historic church, traditional pubs, and scenic countryside near Royal Tunbridge Wells.
-
B.
Shepherdswell
Shepherdswell is a village in Kent, England, situated in the Dover district and known for its rural setting and historic parish church.
-
C.
Beckenham
Beckenham is a suburban town in southeast London known for its residential character, green spaces, and commuter links into central London.
-
D.
Baslehurst
Baslehurst is a fictional English town that serves as the primary setting in Anthony Trollope’s novel "Rachel Ray."
-
E.
Darenth
Darenth is a village and civil parish in the Borough of Dartford in Kent, England, known for its rural character and proximity to the River Darent.
- 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_69d8076cc45c81908123123f43e69266 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97f2a71a0819098bb6cf8a4b2208a |
completed | April 10, 2026, 10:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fff78ad38481908df2338aaf276da9 |
completed | May 10, 2026, 3:12 a.m. |
Created at: April 9, 2026, 8:55 p.m.