Triple
T4963020
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carlo Abarth |
E111454
|
entity |
| Predicate | birthName |
P65
|
FINISHED |
| Object | Karl Albert Abarth |
E111454
|
NE FINISHED |
How this triple was built (2 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: Karl Albert Abarth | Statement: [Carlo Abarth, birthName, Karl Albert Abarth]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Karl Albert Abarth Context triple: [Carlo Abarth, birthName, Karl Albert Abarth]
-
A.
Carlo Abarth
chosen
Carlo Abarth was an Austrian-Italian engineer and entrepreneur best known for founding the Abarth racing and performance car brand.
-
B.
Ernesto Maserati
Ernesto Maserati was an Italian automotive engineer and racing driver best known as one of the founding brothers of the Maserati car company.
-
C.
Marcello Gandini
Marcello Gandini is an Italian automotive designer renowned for his innovative and angular designs for brands such as Lamborghini, Lancia, and Citroën.
-
D.
Fiorenzo Magni
Fiorenzo Magni was an Italian professional road cyclist renowned for his toughness and multiple victories in major races such as the Giro d'Italia and the Tour of Flanders.
-
E.
Umberto Martini
Umberto Martini is an Italian academic and tourism expert known for his work in marketing and destination management.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69bd4419393c819086319a6fe4bf8542 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd71f3e6148190b99f35734220ffc3 |
completed | March 20, 2026, 4:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be89fa42a081909055b6c30505e6b2 |
completed | March 21, 2026, 12:07 p.m. |
Created at: March 20, 2026, 1:32 p.m.