Triple
T6675728
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dan Iassogna |
E151846
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Iassogna
Iassogna is the surname of Dan Iassogna, an American Major League Baseball umpire.
|
E612371
|
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: Iassogna | Statement: [Dan Iassogna, familyName, Iassogna]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Iassogna Context triple: [Dan Iassogna, familyName, Iassogna]
-
A.
Valle Isarco
Valle Isarco is a major Alpine valley in South Tyrol, northern Italy, known for its scenic landscapes, vineyards, and important transport routes connecting the Brenner Pass to Bolzano.
-
B.
Adige
The Adige is one of Italy’s longest rivers, flowing from the Alpine region of South Tyrol through cities like Bolzano and Verona before emptying into the Adriatic Sea.
-
C.
Brenta River
The Brenta River is a major watercourse in northeastern Italy that flows from the Alps through the Veneto region before emptying into the Adriatic Sea.
-
D.
Serchio River
The Serchio River is a major river in Tuscany, Italy, flowing through the province of Lucca before emptying into the Ligurian Sea.
-
E.
Dolceacqua
Dolceacqua is a picturesque medieval village in Italy’s Liguria region, renowned for its stone bridge, historic castle, and scenic setting along the Nervia River.
- 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: Iassogna Triple: [Dan Iassogna, familyName, Iassogna]
Generated description
Iassogna is the surname of Dan Iassogna, an American Major League Baseball umpire.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Iassogna Target entity description: Iassogna is the surname of Dan Iassogna, an American Major League Baseball umpire.
-
A.
Valle Isarco
Valle Isarco is a major Alpine valley in South Tyrol, northern Italy, known for its scenic landscapes, vineyards, and important transport routes connecting the Brenner Pass to Bolzano.
-
B.
Adige
The Adige is one of Italy’s longest rivers, flowing from the Alpine region of South Tyrol through cities like Bolzano and Verona before emptying into the Adriatic Sea.
-
C.
Brenta River
The Brenta River is a major watercourse in northeastern Italy that flows from the Alps through the Veneto region before emptying into the Adriatic Sea.
-
D.
Serchio River
The Serchio River is a major river in Tuscany, Italy, flowing through the province of Lucca before emptying into the Ligurian Sea.
-
E.
Dolceacqua
Dolceacqua is a picturesque medieval village in Italy’s Liguria region, renowned for its stone bridge, historic castle, and scenic setting along the Nervia River.
- 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_69c687f830bc81909eb8b04dbb8450b1 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6b0f3021481908c2599349eb6ea07 |
completed | March 27, 2026, 4:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6f7a30b7481908c36ff9035f62731 |
completed | March 27, 2026, 9:33 p.m. |
| NEDg | Description generation | batch_69c6faa22e748190ab7a06ef84d695f6 |
completed | March 27, 2026, 9:46 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c6fb85632081908bbb66ea35ce97c8 |
completed | March 27, 2026, 9:49 p.m. |
Created at: March 27, 2026, 2:03 p.m.