Triple
T7517261
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Geno Auriemma |
E177675
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Auriemma
Auriemma is an Italian surname most prominently associated with Geno Auriemma, the highly successful head coach of the University of Connecticut women's basketball team.
|
E670587
|
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: Auriemma | Statement: [Geno Auriemma, familyName, Auriemma]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Auriemma Context triple: [Geno Auriemma, familyName, Auriemma]
-
A.
Miglieglia
Miglieglia is a small municipality in the canton of Ticino in southern Switzerland, located in the Malcantone region near the Italian border.
-
B.
Aurisina
Aurisina is a village in northeastern Italy’s Friuli Venezia Giulia region, known for its karst landscape and proximity to the Adriatic coast near Trieste.
-
C.
Orotelli
Orotelli is a small town and comune in the province of Nuoro on the island of Sardinia, Italy, known for its traditional Sardinian culture and rural landscape.
-
D.
Trevigiani
Trevigiani are the inhabitants or natives of Treviso, a city in the Veneto region of northeastern Italy.
-
E.
Montenars
Montenars is a small municipality in the Friuli Venezia Giulia region of northeastern Italy.
- 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: Auriemma Triple: [Geno Auriemma, familyName, Auriemma]
Generated description
Auriemma is an Italian surname most prominently associated with Geno Auriemma, the highly successful head coach of the University of Connecticut women's basketball team.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Auriemma Target entity description: Auriemma is an Italian surname most prominently associated with Geno Auriemma, the highly successful head coach of the University of Connecticut women's basketball team.
-
A.
Miglieglia
Miglieglia is a small municipality in the canton of Ticino in southern Switzerland, located in the Malcantone region near the Italian border.
-
B.
Aurisina
Aurisina is a village in northeastern Italy’s Friuli Venezia Giulia region, known for its karst landscape and proximity to the Adriatic coast near Trieste.
-
C.
Orotelli
Orotelli is a small town and comune in the province of Nuoro on the island of Sardinia, Italy, known for its traditional Sardinian culture and rural landscape.
-
D.
Trevigiani
Trevigiani are the inhabitants or natives of Treviso, a city in the Veneto region of northeastern Italy.
-
E.
Montenars
Montenars is a small municipality in the Friuli Venezia Giulia region of northeastern Italy.
- 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_69c69f2891148190a484f3b8222c6f1b |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f5f6ccc8819080ffd123fdd59a50 |
completed | March 27, 2026, 9:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c84621ba688190b85ee787b856b138 |
completed | March 28, 2026, 9:20 p.m. |
| NEDg | Description generation | batch_69c847a7f49c819081b018575dce62b8 |
completed | March 28, 2026, 9:27 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c84828b2c48190a70f3bcd9e7554cc |
completed | March 28, 2026, 9:29 p.m. |
Created at: March 27, 2026, 3:46 p.m.