Triple
T1721790
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rafael Mariano Grossi |
E37408
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Grossi
Grossi is the surname of Rafael Mariano Grossi, an Argentine diplomat serving as Director General of the International Atomic Energy Agency.
|
E193969
|
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: Grossi | Statement: [Rafael Mariano Grossi, familyName, Grossi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Grossi Context triple: [Rafael Mariano Grossi, familyName, Grossi]
-
A.
Gros
Gros is a French surname most famously borne by Antoine-Jean Gros, a prominent Napoleonic-era painter known for his dramatic historical and battle scenes.
-
B.
Rugantino
Rugantino is a dramatic work by Gothic novelist and playwright Matthew Gregory Lewis, likely reflecting his flair for dark, sensational storytelling.
-
C.
Bruschi
Bruschi is the surname of Tedy Bruschi, a former NFL linebacker best known for his career with the New England Patriots.
-
D.
Cipollone
Cipollone is an Italian surname most prominently associated with Pat Cipollone, a lawyer who served as White House Counsel under U.S. President Donald Trump.
-
E.
Guglielmi
Guglielmi is the Italian surname of silent film icon Rudolph Valentino, reflecting his family’s origins.
- 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: Grossi Triple: [Rafael Mariano Grossi, familyName, Grossi]
Generated description
Grossi is the surname of Rafael Mariano Grossi, an Argentine diplomat serving as Director General of the International Atomic Energy Agency.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Grossi Target entity description: Grossi is the surname of Rafael Mariano Grossi, an Argentine diplomat serving as Director General of the International Atomic Energy Agency.
-
A.
Gros
Gros is a French surname most famously borne by Antoine-Jean Gros, a prominent Napoleonic-era painter known for his dramatic historical and battle scenes.
-
B.
Rugantino
Rugantino is a dramatic work by Gothic novelist and playwright Matthew Gregory Lewis, likely reflecting his flair for dark, sensational storytelling.
-
C.
Bruschi
Bruschi is the surname of Tedy Bruschi, a former NFL linebacker best known for his career with the New England Patriots.
-
D.
Cipollone
Cipollone is an Italian surname most prominently associated with Pat Cipollone, a lawyer who served as White House Counsel under U.S. President Donald Trump.
-
E.
Guglielmi
Guglielmi is the Italian surname of silent film icon Rudolph Valentino, reflecting his family’s origins.
- 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_69a8861acab88190bb43cde203429399 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aa635703dc8190809260de43b72ea3 |
completed | March 6, 2026, 5:17 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad8aeca12881908efad5991bb0f12b |
completed | March 8, 2026, 2:42 p.m. |
| NEDg | Description generation | batch_69ad957bd63c819099a508ca5c4102cc |
completed | March 8, 2026, 3:27 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad97b18f9c8190a9c5ed80b5ed0195 |
completed | March 8, 2026, 3:37 p.m. |
Created at: March 4, 2026, 7:30 p.m.