Triple
T15747110
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Doina Cornea |
E381747
|
entity |
| Predicate | birthName |
P65
|
FINISHED |
| Object | Doina Cornea |
E381747
|
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: Doina Cornea | Statement: [Doina Cornea, birthName, Doina Cornea]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Doina Cornea Context triple: [Doina Cornea, birthName, Doina Cornea]
-
A.
Doina Cornea
chosen
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.
Ornea
Ornea is a minor figure in Greek mythology known primarily as one of the many children of the river god Asopus.
-
C.
Cornea
Cornea is a transparent, dome-shaped tissue at the front of the eye that helps focus incoming light onto the retina.
-
D.
Corne
Corne is a given name, typically used as a shortened or informal form of the Dutch name Cornelis.
-
E.
Keratsini-Drapetsona
Keratsini-Drapetsona is a coastal municipality in the Athens urban area of Greece, known for its port-related industry and working-class neighborhoods.
- 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_69d86d9e6b44819085d1f6a969ecb74c |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e0502d72008190b4d13a6b3a12e467 |
completed | April 16, 2026, 2:57 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff9094b4008190bb5c65fa2bd0f0b5 |
completed | May 9, 2026, 7:52 p.m. |
Created at: April 10, 2026, 4:46 a.m.