Triple
T20070946
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Franco Scaglione |
E499734
|
entity |
| Predicate | collaboratedWith |
P435
|
FINISHED |
| Object | Carlo Abarth |
—
|
NE NERFINISHED |
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: Carlo Abarth | Statement: [Franco Scaglione, collaboratedWith, Carlo Abarth]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Carlo Abarth Context triple: [Franco Scaglione, collaboratedWith, Carlo 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.
Umberto Martini
Umberto Martini is an Italian academic and tourism expert known for his work in marketing and destination management.
-
C.
Furio Colombo
Furio Colombo is an Italian journalist, writer, and politician best known for his influential role in national media and public discourse.
-
D.
Enzo Rossi
Enzo Rossi is the son of American actress Patricia Arquette and musician Paul Rossi.
-
E.
Antonello Riva
Antonello Riva is a legendary Italian shooting guard widely regarded as one of Europe’s greatest scorers and a key figure in Italian basketball history.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69da627770948190997f486f9a2e370f |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e6643798a4819081fa4e71c74b47bc |
completed | April 20, 2026, 5:36 p.m. |
Created at: April 11, 2026, 3:40 p.m.