Triple
T1927375
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Giovanni Messe |
E40862
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Giovanni Messe |
E40862
|
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: Giovanni Messe | Statement: [Giovanni Messe, name, Giovanni Messe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Giovanni Messe Context triple: [Giovanni Messe, name, Giovanni Messe]
-
A.
Giovanni Messe
chosen
Giovanni Messe was an Italian general and later Marshal of Italy, noted for his leadership in World War II and subsequent role as a postwar political figure.
-
B.
Giuseppe Marrucci
Giuseppe Marrucci is a distinguished scientist in the field of rheology and polymer science, recognized for his influential theoretical and experimental contributions.
-
C.
Pietro Bracci
Pietro Bracci was an 18th-century Italian sculptor of the late Baroque period, best known for his monumental marble works in Rome.
-
D.
Giovanni Molari
Giovanni Molari is an Italian academic and engineer who serves as rector of the historic University of Bologna.
-
E.
Luigi Cagni
Luigi Cagni is an Italian football manager and former defender best known for coaching several Serie A and Serie B clubs, including successful spells with teams like Piacenza and Empoli.
- 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_69a8864711648190b07bed24ed76258e |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb263cdb8819084d0bda98a2a71e0 |
completed | March 7, 2026, 5:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b1eec2a3f081909aa9f32ff5537a3c |
completed | March 11, 2026, 10:37 p.m. |
Created at: March 4, 2026, 7:35 p.m.