Triple
T23074319
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alexandra Elizabeth Kingston |
E575285
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Kingston
Kingston is a common English surname borne by various notable individuals across fields such as entertainment, sports, and politics.
|
E69047
|
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: Kingston | Statement: [Alexandra Elizabeth Kingston, familyName, Kingston]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kingston Context triple: [Alexandra Elizabeth Kingston, familyName, Kingston]
-
A.
Kingston
Kingston is a historic city in New York State known for being one of the state’s early capitals and a key cultural and economic center in the Hudson Valley region.
-
B.
Kingston
Kingston is the small historic administrative center and main settlement of Norfolk Island, an external territory of Australia in the Pacific Ocean.
-
C.
Kingston
Kingston is a residential suburb located on Portsea Island in the city of Portsmouth, England.
-
D.
Kingston
Kingston is a small settlement in New Zealand’s South Island, located at the southern end of Lake Wakatipu and known as a gateway to the Queenstown-Lakes district.
-
E.
Kingston
Kingston is a town in south-west London, England, known as a major retail and commercial centre on the River Thames.
- 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: Kingston Triple: [Alexandra Elizabeth Kingston, familyName, Kingston]
Generated description
Kingston is a common English surname borne by various notable individuals across fields such as entertainment, sports, and politics.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kingston Target entity description: Kingston is a common English surname borne by various notable individuals across fields such as entertainment, sports, and politics.
-
A.
Kingston
chosen
Kingston is a common English surname of Anglo-Saxon origin, historically associated with various towns named Kingston in England.
-
B.
Kingston
Kingston is a masculine given name used in English-speaking countries, often associated with the meaning "king's town."
-
C.
Kingston
Kingston is a town in south-west London, England, known as a major retail and commercial centre on the River Thames.
-
D.
Kingston
Kingston is a residential suburb located on Portsea Island in the city of Portsmouth, England.
-
E.
Kingston
Kingston is a residential suburb within Logan City in Queensland, Australia, known for its diverse community and proximity to Brisbane.
- F. None of above.
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_69e245be28d48190ad1348d5a73db37d |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f18c61bb7c8190a3d9b1fba173cdff |
completed | April 29, 2026, 4:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c15aaf74881909d2cd5f3d730f1b4 |
completed | May 19, 2026, 7:47 a.m. |
| NEDg | Description generation | batch_6a0c15f186208190889e0766ddf03343 |
completed | May 19, 2026, 7:49 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0c165b716c8190b1c1e1683fe897db |
completed | May 19, 2026, 7:50 a.m. |
Created at: April 17, 2026, 3:56 p.m.