Triple
T4591184
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cornelis |
E103491
|
entity |
| Predicate | shortForm |
P43
|
FINISHED |
| Object |
Corne
Corne is a given name, typically used as a shortened or informal form of the Dutch name Cornelis.
|
E454741
|
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: Corne | Statement: [Cornelis, shortForm, Corne]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Corne Context triple: [Cornelis, shortForm, Corne]
-
A.
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.
-
B.
Manchioneal
Manchioneal is a coastal village in eastern Jamaica known for its fishing community and proximity to natural attractions such as Reach Falls.
-
C.
Cérons
Cérons is a French wine appellation in the Graves region of Bordeaux, known for its sweet white wines made primarily from Semillon, Sauvignon Blanc, and Muscadelle grapes.
-
D.
Cornas
Cornas is a prestigious Northern Rhône wine appellation in France renowned for producing powerful, age-worthy red wines exclusively from Syrah grapes.
-
E.
Lacringi
The Lacringi were a lesser-known Germanic tribe that participated in the Marcomannic Wars against the Roman Empire in the 2nd century AD.
- 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: Corne Triple: [Cornelis, shortForm, Corne]
Generated description
Corne is a given name, typically used as a shortened or informal form of the Dutch name Cornelis.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Corne Target entity description: Corne is a given name, typically used as a shortened or informal form of the Dutch name Cornelis.
-
A.
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.
-
B.
Manchioneal
Manchioneal is a coastal village in eastern Jamaica known for its fishing community and proximity to natural attractions such as Reach Falls.
-
C.
Cérons
Cérons is a French wine appellation in the Graves region of Bordeaux, known for its sweet white wines made primarily from Semillon, Sauvignon Blanc, and Muscadelle grapes.
-
D.
Cornas
Cornas is a prestigious Northern Rhône wine appellation in France renowned for producing powerful, age-worthy red wines exclusively from Syrah grapes.
-
E.
Lacringi
The Lacringi were a lesser-known Germanic tribe that participated in the Marcomannic Wars against the Roman Empire in the 2nd century AD.
- 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_69bd43dccaf08190aa89e9991a289719 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd5923c0c88190952137d448d474cf |
completed | March 20, 2026, 2:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bde0cdc7e8819088758c1d6d8e866d |
completed | March 21, 2026, 12:05 a.m. |
| NEDg | Description generation | batch_69bde21999688190afc48da7fa2cd869 |
completed | March 21, 2026, 12:11 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69bde283e1988190bfa3545d2a362294 |
completed | March 21, 2026, 12:12 a.m. |
Created at: March 20, 2026, 1:11 p.m.