Triple
T8938737
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harold George Bellanfanti Jr. |
E212842
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Bellanfanti |
E212843
|
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: Bellanfanti | Statement: [Harold George Bellanfanti Jr., familyName, Bellanfanti]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bellanfanti Context triple: [Harold George Bellanfanti Jr., familyName, Bellanfanti]
-
A.
Bellanfanti
chosen
Bellanfanti is the original family surname of the renowned American singer, actor, and civil rights activist Harry Belafonte.
-
B.
Gronchi
Gronchi is an Italian surname most notably associated with Giovanni Gronchi, the third President of the Italian Republic.
-
C.
Carlo Abarth
Carlo Abarth was an Austrian-Italian engineer and entrepreneur best known for founding the Abarth racing and performance car brand.
-
D.
Umberto Martini
Umberto Martini is an Italian academic and tourism expert known for his work in marketing and destination management.
-
E.
Mario Del Monaco
Mario Del Monaco was a renowned Italian dramatic tenor celebrated for his powerful voice and intense performances, particularly in the Italian operatic repertoire.
- 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_69ca839694c88190b324ffeb43d23b08 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc66b57a348190979effe4f9998eb7 |
completed | April 1, 2026, 12:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfc1eb308c81909f5be133c75ad568 |
completed | April 3, 2026, 1:34 p.m. |
Created at: March 30, 2026, 6:58 p.m.