Triple
T11347367
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gideon Gono |
E268752
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Gono
Gono is a Zimbabwean surname most notably borne by Gideon Gono, the former governor of the Reserve Bank of Zimbabwe.
|
E920124
|
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: Gono | Statement: [Gideon Gono, familyName, Gono]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gono Context triple: [Gideon Gono, familyName, Gono]
-
A.
Jino
Jino are an officially recognized ethnic minority group in China, primarily living in Yunnan Province and known for their distinct language and traditional culture.
-
B.
Songololo
Songololo is a town in the western Democratic Republic of the Congo, situated near the border with Angola and known as a local transport and trade hub.
-
C.
Kannon
Kannon is the Japanese name for the bodhisattva of compassion, derived from the Buddhist deity Avalokiteshvara and widely venerated in Japan.
-
D.
Shinaki
Shinaki is an alternative name for the Shina people, an ethnic group primarily inhabiting the mountainous regions of northern Pakistan and parts of India.
-
E.
Masego
Masego is an American musician, singer, and producer known for his genre-blending "TrapHouseJazz" style that fuses jazz, R&B, and hip-hop.
- 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: Gono Triple: [Gideon Gono, familyName, Gono]
Generated description
Gono is a Zimbabwean surname most notably borne by Gideon Gono, the former governor of the Reserve Bank of Zimbabwe.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gono Target entity description: Gono is a Zimbabwean surname most notably borne by Gideon Gono, the former governor of the Reserve Bank of Zimbabwe.
-
A.
Jino
Jino are an officially recognized ethnic minority group in China, primarily living in Yunnan Province and known for their distinct language and traditional culture.
-
B.
Songololo
Songololo is a town in the western Democratic Republic of the Congo, situated near the border with Angola and known as a local transport and trade hub.
-
C.
Kannon
Kannon is the Japanese name for the bodhisattva of compassion, derived from the Buddhist deity Avalokiteshvara and widely venerated in Japan.
-
D.
Shinaki
Shinaki is an alternative name for the Shina people, an ethnic group primarily inhabiting the mountainous regions of northern Pakistan and parts of India.
-
E.
Masego
Masego is an American musician, singer, and producer known for his genre-blending "TrapHouseJazz" style that fuses jazz, R&B, and hip-hop.
- 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_69d6aacbe18081909e5fadb50082dd96 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7ea214bb88190bb66f7fd3ef73081 |
completed | April 9, 2026, 6:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e5437fb1208190892fa6b05c92478e |
completed | April 19, 2026, 9:05 p.m. |
| NEDg | Description generation | batch_69e548bb7be4819093aeeaf0c048033e |
completed | April 19, 2026, 9:27 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e54eeba4a88190af128a99c277853a |
completed | April 19, 2026, 9:53 p.m. |
Created at: April 8, 2026, 9:33 p.m.