Triple
T21391536
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Patricia Neway |
E527662
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Neway |
—
|
NE NERFINISHED |
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: Neway | Statement: [Patricia Neway, familyName, Neway]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Neway Context triple: [Patricia Neway, familyName, Neway]
-
A.
Neway
chosen
Neway is a surname most notably associated with Mengistu Neway, a key Ethiopian military figure involved in the 1960 coup attempt against Emperor Haile Selassie.
-
B.
Meco
Meco is a municipality in central Spain’s Community of Madrid, known for its location in the Henares Corridor near Alcalá de Henares.
-
C.
Minova
Minova is a town in the eastern Democratic Republic of the Congo, situated on the shores of Lake Kivu and known as a key commercial and transit hub in South Kivu province.
-
D.
Wellmich
Wellmich is a small village on the Rhine River in Germany, known for its scenic setting beneath the historic Maus Castle.
-
E.
Nutisal
Nutisal is a snack brand known for its range of dry-roasted and flavored nut products, owned by the Swedish confectionery company Cloetta.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b51ff3748190935c0a513c62a12b |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e8b113690c81909c0a378fddba5d3a |
completed | April 22, 2026, 11:29 a.m. |
Created at: April 16, 2026, 5:13 p.m.