Triple
T3653360
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Devs |
E77471
|
entity |
| Predicate | hasCharacter |
P2308
|
FINISHED |
| Object |
KentON
KentON is a character created by the Devs, likely serving as a fictional persona or avatar within their projects or community.
|
E375724
|
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: KentON | Statement: [Devs, hasCharacter, KentON]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: KentON Context triple: [Devs, hasCharacter, KentON]
-
A.
Kent
Kent is a county in southeastern England known for its historic towns, coastal landscapes, and nickname "the Garden of England."
-
B.
Kent
Kent is a suburban city in King County, Washington, known as a residential and industrial hub within the greater Seattle metropolitan area.
-
C.
Kent
Kent is a brand of filtered cigarettes historically marketed as a "safer" smoking option and produced by the Lorillard Tobacco Company.
-
D.
South Kenton
South Kenton is a suburban London Underground and National Rail station in northwest London, located on the Watford DC line and served by Bakerloo line trains.
-
E.
Kent, Ohio
Kent, Ohio is a city in northeastern Ohio best known as the home of Kent State University.
- 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: KentON Triple: [Devs, hasCharacter, KentON]
Generated description
KentON is a character created by the Devs, likely serving as a fictional persona or avatar within their projects or community.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: KentON Target entity description: KentON is a character created by the Devs, likely serving as a fictional persona or avatar within their projects or community.
-
A.
Kent
Kent is a suburban city in King County, Washington, known as a residential and industrial hub within the greater Seattle metropolitan area.
-
B.
Kent
Kent is a county in southeastern England known for its historic towns, coastal landscapes, and nickname "the Garden of England."
-
C.
Kent
Kent is a brand of filtered cigarettes historically marketed as a "safer" smoking option and produced by the Lorillard Tobacco Company.
-
D.
South Kenton
South Kenton is a suburban London Underground and National Rail station in northwest London, located on the Watford DC line and served by Bakerloo line trains.
-
E.
Kent, Ohio
Kent, Ohio is a city in northeastern Ohio best known as the home of Kent State University.
- 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_69ad85def5cc8190863dccf55a18bebb |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc3b805a48190a7bc230a382365d6 |
completed | March 8, 2026, 6:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b44f4541dc8190b794eae019dcffbf |
completed | March 13, 2026, 5:54 p.m. |
| NEDg | Description generation | batch_69b45258be648190a98f60bd0cf57faa |
completed | March 13, 2026, 6:07 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b45eec592481908e2f002aa2127849 |
completed | March 13, 2026, 7:01 p.m. |
Created at: March 8, 2026, 3:24 p.m.