Triple
T7496710
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bruno Giorgi |
E177148
|
entity |
| Predicate | knownAs |
P39
|
FINISHED |
| Object | Bruno Giorgi |
E177148
|
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: Bruno Giorgi | Statement: [Bruno Giorgi, knownAs, Bruno Giorgi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bruno Giorgi Context triple: [Bruno Giorgi, knownAs, Bruno Giorgi]
-
A.
Bruno Giorgi
chosen
Bruno Giorgi was a prominent Brazilian modernist sculptor known for his abstract public monuments and significant contributions to 20th-century Brazilian art.
-
B.
Stefano Bonaccini
Stefano Bonaccini is an Italian politician of the centre-left who has served as president of the Emilia-Romagna region and is a prominent figure in the Democratic Party.
-
C.
Francesco Bontempi
Francesco Bontempi is an Italian music producer and songwriter best known for his work in the 1990s Eurodance scene, particularly with projects like Corona.
-
D.
Guido Saracco
Guido Saracco is an Italian chemical engineer and academic who serves as rector of the Polytechnic University of Turin.
-
E.
Fabio Conversi
Fabio Conversi is an Italian film producer best known for his work on acclaimed art-house and auteur-driven films, including the Oscar-winning "The Great Beauty."
- 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_69c69f2583808190bd1a4936c42a5815 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f57c86948190aa8ee765bd497850 |
completed | March 27, 2026, 9:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d369226a28819088b14cbc4cb78e57 |
completed | April 6, 2026, 8:04 a.m. |
Created at: March 27, 2026, 3:44 p.m.