Triple
T12330491
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cornelius |
E293947
|
entity |
| Predicate | hasDiminutive |
P456
|
FINISHED |
| Object | Corne |
E454741
|
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: Corne | Statement: [Cornelius, hasDiminutive, Corne]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Corne Context triple: [Cornelius, hasDiminutive, Corne]
-
A.
Corne
chosen
Corne is a given name, typically used as a shortened or informal form of the Dutch name Cornelis.
-
B.
Ornea
Ornea is a minor figure in Greek mythology known primarily as one of the many children of the river god Asopus.
-
C.
Doina Cornea
Doina Cornea was a prominent Romanian dissident and human rights activist who opposed the Ceaușescu regime and became a key moral voice during the country’s transition from communism.
-
D.
Coshlea
Coshlea is a historic barony in County Limerick, Ireland, known as a traditional administrative and land division with roots in the region’s medieval territorial organization.
-
E.
the Nose
The Nose is the absurd, anthropomorphized facial feature that becomes an independent character in Nikolai Gogol’s satirical short story of the same name.
- 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_69d6ab6ae0dc8190b1522a9c1c55c114 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93f634ee08190b4f533505d402219 |
completed | April 10, 2026, 6:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f61e9114f48190988b84eaec2e810f |
completed | May 2, 2026, 3:56 p.m. |
Created at: April 8, 2026, 9:53 p.m.