Triple
T21471117
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gianni Infantino |
E529734
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Infantino
Infantino is the surname of Gianni Infantino, the Swiss-Italian football administrator who serves as president of FIFA.
|
E1485861
|
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: Infantino | Statement: [Gianni Infantino, familyName, Infantino]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Infantino Context triple: [Gianni Infantino, familyName, Infantino]
-
A.
Bebeto
Bebeto is a retired Brazilian footballer and prolific striker best known for his successful international career with Brazil, including winning the 1994 FIFA World Cup.
-
B.
Giannettino
Giannettino is a lesser-known didactic children's book by Italian author Carlo Collodi, written before his famous "Pinocchio" and centered on the moral and civic education of a young boy.
-
C.
Giannino
Giannino is an Italian given name, commonly used as a familiar or affectionate form of Giovanni.
-
D.
Jorgito
Jorgito is a Spanish diminutive form of the given name Jorge, often used affectionately for a boy or young man.
-
E.
Juano
Juano is the given name of Juano Hernández, a pioneering Afro-Puerto Rican actor known for his influential roles in mid-20th-century American cinema.
- 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: Infantino Triple: [Gianni Infantino, familyName, Infantino]
Generated description
Infantino is the surname of Gianni Infantino, the Swiss-Italian football administrator who serves as president of FIFA.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Infantino Target entity description: Infantino is the surname of Gianni Infantino, the Swiss-Italian football administrator who serves as president of FIFA.
-
A.
Bebeto
Bebeto is a retired Brazilian footballer and prolific striker best known for his successful international career with Brazil, including winning the 1994 FIFA World Cup.
-
B.
Giannettino
Giannettino is a lesser-known didactic children's book by Italian author Carlo Collodi, written before his famous "Pinocchio" and centered on the moral and civic education of a young boy.
-
C.
Giannino
Giannino is an Italian given name, commonly used as a familiar or affectionate form of Giovanni.
-
D.
Jorgito
Jorgito is a Spanish diminutive form of the given name Jorge, often used affectionately for a boy or young man.
-
E.
Juano
Juano is the given name of Juano Hernández, a pioneering Afro-Puerto Rican actor known for his influential roles in mid-20th-century American cinema.
- 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_69e0c459acb481909bb6ee452a0045c7 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e9ea13adfc819093324ae6fe66c3fd |
completed | April 23, 2026, 9:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a09cff7356081908a25a7c9df6ddeb8 |
completed | May 17, 2026, 2:25 p.m. |
| NEDg | Description generation | batch_6a09d0b09b7c8190ada49df657da33b0 |
completed | May 17, 2026, 2:29 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a09d131109c81909183c84c31f66b5a |
completed | May 17, 2026, 2:31 p.m. |
Created at: April 16, 2026, 6:18 p.m.