Triple
T16924708
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saint Kenelm |
E410537
|
entity |
| Predicate | patronage |
P2320
|
FINISHED |
| Object | Clent |
E1241277
|
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: Clent | Statement: [Saint Kenelm, patronage, Clent]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Clent Context triple: [Saint Kenelm, patronage, Clent]
-
A.
Clent
chosen
Clent is a village in Worcestershire, England, historically notable as a local centre of devotion to the Anglo-Saxon saint Kenelm.
-
B.
Cliftonn
Cliftonn is a variant spelling of the given name and surname Clifton, which is of English origin.
-
C.
Clelles
Clelles is a small commune in southeastern France’s Isère department, known as a gateway village to the Vercors Massif and the iconic Mont Aiguille.
-
D.
Claytor
Claytor is a surname most notably associated with W. Graham Claytor Jr., an influential American railroad executive and public servant.
-
E.
Chlef
Chlef is a city in northern Algeria that serves as the capital of Chlef Province and an important regional economic and administrative center.
- 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_69d886c7b1e481908c3766dfa8c13458 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3cdf1347c819085cf754a0c3e19ed |
completed | April 18, 2026, 6:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00d45a6ee8819092ae7c572be68e62 |
completed | May 10, 2026, 6:54 p.m. |
Created at: April 10, 2026, 5:30 a.m.