Triple
T23091269
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Charles Kent |
E575754
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Kent
Kent is an English surname historically associated with the county of Kent in southeastern England and borne by numerous notable individuals.
|
E575754
|
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: Kent | Statement: [Charles Kent, familyName, Kent]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kent Context triple: [Charles Kent, familyName, Kent]
-
A.
Kent
Kent is a small, scenic town in western Connecticut known for its rural charm, outdoor recreation, and historic New England character.
-
B.
Kent
Kent is a coastal village in the Western Area of Sierra Leone known historically for its role in the transatlantic slave trade and later as a settlement for freed slaves.
-
C.
Kent
Kent is a city in northeastern Ohio best known as the home of Kent State University and the site of the 1970 Kent State shootings.
-
D.
Kent
Kent is a suburban city in King County, Washington, known as a residential and industrial hub within the greater Seattle metropolitan area.
-
E.
Kent
Kent is a villainous saloon owner and primary antagonist in the classic 1939 Western film "Destry Rides Again."
- 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: Kent Triple: [Charles Kent, familyName, Kent]
Generated description
Kent is an English surname historically associated with the county of Kent in southeastern England and borne by numerous notable individuals.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kent Target entity description: Kent is an English surname historically associated with the county of Kent in southeastern England and borne by numerous notable individuals.
-
A.
Kent
chosen
Kent is a common English surname borne by numerous notable individuals across fields such as art, politics, and entertainment.
-
B.
Kent
Kent is a masculine given name of English origin, traditionally associated with the English county of Kent and meaning "edge" or "borderland."
-
C.
Kent
Kent is a county in southeastern England known for its historic towns, coastal landscapes, and nickname "the Garden of England."
-
D.
Kent
Kent is a common English surname famously associated with the adoptive family of Superman in DC Comics, including Jonathan and Martha Kent.
-
E.
Kent
Kent is a suburban city in King County, Washington, known as a residential and industrial hub within the greater Seattle metropolitan area.
- 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_69e245bf3e3c819086d3448720efc01b |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f18daa68d48190842e9cb6de31ea79 |
completed | April 29, 2026, 4:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c822f42cc81909ece73ff9a1f96df |
completed | May 19, 2026, 3:30 p.m. |
| NEDg | Description generation | batch_6a0ca6eda1f481908482f3a66d576c3c |
completed | May 19, 2026, 6:07 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0ca7bdf7f08190b50191b029480fc5 |
completed | May 19, 2026, 6:11 p.m. |
Created at: April 17, 2026, 3:57 p.m.