Triple
T4035454
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joseph Conrad |
E83816
|
entity |
| Predicate | placeOfDeath |
P21
|
FINISHED |
| Object |
Bishopsbourne
Bishopsbourne is a village in Kent, England, best known as the place where novelist Joseph Conrad spent his final years and died.
|
E407835
|
NE FINISHED |
How this triple was built (4 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: Bishopsbourne | Statement: [Joseph Conrad, placeOfDeath, Bishopsbourne]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bishopsbourne Context triple: [Joseph Conrad, placeOfDeath, Bishopsbourne]
-
A.
Beckenham
Beckenham is a suburban town in southeast London known for its residential character, green spaces, and commuter links into central London.
-
B.
Westerham
Westerham is a small historic town in Kent, England, known for its picturesque setting and associations with figures such as Winston Churchill.
-
C.
Northbourne
Northbourne is a small village and civil parish in Kent, England, known for its rural character and historic church.
-
D.
Sevenoaks
Sevenoaks is a commuter town in Kent, England, known for its historic market center, surrounding countryside, and proximity to London.
-
E.
Speldhurst
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.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Bishopsbourne Triple: [Joseph Conrad, placeOfDeath, Bishopsbourne]
Generated description
Bishopsbourne is a village in Kent, England, best known as the place where novelist Joseph Conrad spent his final years and died.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bishopsbourne Target entity description: Bishopsbourne is a village in Kent, England, best known as the place where novelist Joseph Conrad spent his final years and died.
-
A.
Beckenham
Beckenham is a suburban town in southeast London known for its residential character, green spaces, and commuter links into central London.
-
B.
Westerham
Westerham is a small historic town in Kent, England, known for its picturesque setting and associations with figures such as Winston Churchill.
-
C.
Northbourne
Northbourne is a small village and civil parish in Kent, England, known for its rural character and historic church.
-
D.
Sevenoaks
Sevenoaks is a commuter town in Kent, England, known for its historic market center, surrounding countryside, and proximity to London.
-
E.
Speldhurst
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.
- F. None of above. chosen
Provenance (5 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_69aed92f7cf0819098e0539bdcc3767f |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefb132f6c8190937acd35a6a5a9e4 |
completed | March 9, 2026, 4:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b556415ebc8190a528c7e22dbf70df |
completed | March 14, 2026, 12:36 p.m. |
| NEDg | Description generation | batch_69b556efc2148190a66e732e09e4fc21 |
completed | March 14, 2026, 12:39 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b5575de0e88190843f1fcbc12c9dd5 |
completed | March 14, 2026, 12:41 p.m. |
Created at: March 9, 2026, 3:36 p.m.