Triple
T8339275
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Barnaba Chiaramonti |
E195868
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Barnaba |
E195868
|
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: Barnaba | Statement: [Barnaba Chiaramonti, givenName, Barnaba]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Barnaba Context triple: [Barnaba Chiaramonti, givenName, Barnaba]
-
A.
Barnaba
chosen
Barnaba was the birth name of Pope Pius VII, the Italian Benedictine monk who became head of the Catholic Church during the Napoleonic era.
-
B.
Martino
Martino is a surname most prominently associated with Argentine football manager and former player Gerardo "Tata" Martino.
-
C.
Lorenzo Campeggi
Lorenzo Campeggi was a 17th-century naval commander in the service of the Habsburg Monarchy, noted for his role in major Northern European maritime conflicts.
-
D.
Giacinto
Giacinto is an Italian masculine given name of Latin origin, traditionally associated with the name Hyacinth.
-
E.
Ambrogio
Ambrogio is an Italian given name, historically borne by notable figures such as generals, artists, and saints.
- 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_69ca82ecbdc481908a55cad8ca062d88 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb7fd7a3888190b54306ed862aded4 |
completed | March 31, 2026, 8:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cde79e916c8190afc90c3b12c68caf |
completed | April 2, 2026, 3:50 a.m. |
Created at: March 30, 2026, 5:57 p.m.