Triple
T8078547
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ferrari F2004 |
E188556
|
entity |
| Predicate | designer |
P184
|
FINISHED |
| Object |
Aldo Costa
Aldo Costa is an Italian motorsport engineer renowned for designing multiple championship-winning Formula One cars for teams such as Ferrari and Mercedes.
|
E849351
|
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: Aldo Costa | Statement: [Ferrari F2004, designer, Aldo Costa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aldo Costa Context triple: [Ferrari F2004, designer, Aldo Costa]
-
A.
Ernesto Rossi
Ernesto Rossi was an Italian anti-fascist activist, journalist, and politician best known for co-authoring the Ventotene Manifesto, a foundational text of European federalism.
-
B.
Aldo Bonnadonna
Aldo Bonnadonna is a fictional character appearing in the television series "Kristin."
-
C.
Lino Lacedelli
Lino Lacedelli was an Italian mountaineer best known for being one of the first climbers to reach the summit of K2 in 1954.
-
D.
Guido Molinari
Guido Molinari was a Canadian abstract painter renowned for his hard-edge geometric compositions and influential role in the development of modern art in Quebec.
-
E.
Roberto Silvi
Roberto Silvi is a film editor known for his work on movies such as the 1972 comedy-drama "Pete 'n' Tillie."
- 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: Aldo Costa Triple: [Ferrari F2004, designer, Aldo Costa]
Generated description
Aldo Costa is an Italian motorsport engineer renowned for designing multiple championship-winning Formula One cars for teams such as Ferrari and Mercedes.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Aldo Costa Target entity description: Aldo Costa is an Italian motorsport engineer renowned for designing multiple championship-winning Formula One cars for teams such as Ferrari and Mercedes.
-
A.
Ernesto Rossi
Ernesto Rossi was an Italian anti-fascist activist, journalist, and politician best known for co-authoring the Ventotene Manifesto, a foundational text of European federalism.
-
B.
Aldo Bonnadonna
Aldo Bonnadonna is a fictional character appearing in the television series "Kristin."
-
C.
Lino Lacedelli
Lino Lacedelli was an Italian mountaineer best known for being one of the first climbers to reach the summit of K2 in 1954.
-
D.
Guido Molinari
Guido Molinari was a Canadian abstract painter renowned for his hard-edge geometric compositions and influential role in the development of modern art in Quebec.
-
E.
Roberto Silvi
Roberto Silvi is a film editor known for his work on movies such as the 1972 comedy-drama "Pete 'n' Tillie."
- 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_69ca82b50c708190863f661d438e68df |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb40a2b64c8190ae2b3414b4f840e4 |
completed | March 31, 2026, 3:33 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d642c457f08190a79c7161ceadb869 |
completed | April 8, 2026, 11:57 a.m. |
| NEDg | Description generation | batch_69d643b2e7408190ba0c6fbe8f9ece1a |
completed | April 8, 2026, 12:01 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d644090ad0819083a2f59860134526 |
completed | April 8, 2026, 12:03 p.m. |
Created at: March 30, 2026, 5:28 p.m.