Triple
T15538615
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Giuseppe Mengoni |
E370414
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Mengoni
Mengoni is an Italian surname most notably associated with figures such as architect Giuseppe Mengoni and contemporary singer Marco Mengoni.
|
E1162161
|
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: Mengoni | Statement: [Giuseppe Mengoni, familyName, Mengoni]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mengoni Context triple: [Giuseppe Mengoni, familyName, Mengoni]
-
A.
Kandia
Kandia is a remote valley and settlement area located within Pakistan’s Kohistan mountain ranges, known for its rugged terrain and isolated communities.
-
B.
Mohombi
Mohombi is a Congolese-Swedish singer, songwriter, and dancer known for his international pop and dance hits blending African and European musical influences.
-
C.
Nkomi
Nkomi is a dialect of the Myene language spoken by the Nkomi people of Gabon.
-
D.
Moengo
Moengo is a town in eastern Suriname known historically as a major bauxite mining center.
-
E.
N'Kono
N'Kono is the surname of Thomas N'Kono, a renowned Cameroonian former goalkeeper considered one of Africa's greatest footballers.
- 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: Mengoni Triple: [Giuseppe Mengoni, familyName, Mengoni]
Generated description
Mengoni is an Italian surname most notably associated with figures such as architect Giuseppe Mengoni and contemporary singer Marco Mengoni.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mengoni Target entity description: Mengoni is an Italian surname most notably associated with figures such as architect Giuseppe Mengoni and contemporary singer Marco Mengoni.
-
A.
Kandia
Kandia is a remote valley and settlement area located within Pakistan’s Kohistan mountain ranges, known for its rugged terrain and isolated communities.
-
B.
Mohombi
Mohombi is a Congolese-Swedish singer, songwriter, and dancer known for his international pop and dance hits blending African and European musical influences.
-
C.
Nkomi
Nkomi is a dialect of the Myene language spoken by the Nkomi people of Gabon.
-
D.
Moengo
Moengo is a town in eastern Suriname known historically as a major bauxite mining center.
-
E.
N'Kono
N'Kono is the surname of Thomas N'Kono, a renowned Cameroonian former goalkeeper considered one of Africa's greatest footballers.
- 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_69d85cc521a08190921fb50319dddc34 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e0442f3c688190a599165e526af2ed |
completed | April 16, 2026, 2:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff3d626e688190bd93481cfd6cb255 |
completed | May 9, 2026, 1:57 p.m. |
| NEDg | Description generation | batch_69ff3f075bb881908c254137ca7c3f9f |
completed | May 9, 2026, 2:04 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff3f87f788819080eccae52b0df145 |
completed | May 9, 2026, 2:07 p.m. |
Created at: April 10, 2026, 4:07 a.m.