Triple
T11478225
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kingdom of Kent |
E272075
|
entity |
| Predicate | hasImportantFigure |
P1183
|
FINISHED |
| Object | Mellitus |
E376053
|
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: Mellitus | Statement: [Kingdom of Kent, hasImportantFigure, Mellitus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mellitus Context triple: [Kingdom of Kent, hasImportantFigure, Mellitus]
-
A.
Mellitus
chosen
Mellitus was an early 7th-century Christian missionary and the first Bishop of London, later serving as Archbishop of Canterbury in Anglo-Saxon England.
-
B.
T1D
T1D is a shorthand name for Terminal 1D, likely referring to a specific passenger terminal section within an airport.
-
C.
GDM
GDM (GNOME Display Manager) is the graphical login and session management system used by the GNOME desktop environment on Unix-like operating systems.
-
D.
Diabetes Group
Diabetes Group is a Medtronic business division focused on developing and providing medical technologies and solutions for diabetes management.
-
E.
Hipple
Hipple is the birth surname of American film and television actor Hugh Marlowe.
- 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_69d6aae0c8d881908a5a360c0be3242e |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8294e0fe08190b018e840146e27ca |
completed | April 9, 2026, 10:33 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e5e970743c8190a5be4d59d1b941d6 |
completed | April 20, 2026, 8:53 a.m. |
Created at: April 8, 2026, 9:36 p.m.