Triple
T15758470
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marcello Cervini degli Spannocchi |
E382030
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Cervini |
E380466
|
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: Cervini | Statement: [Marcello Cervini degli Spannocchi, familyName, Cervini]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cervini Context triple: [Marcello Cervini degli Spannocchi, familyName, Cervini]
-
A.
Cervini
chosen
Cervini is the Italian noble family from which Pope Marcellus II (Marcello Cervini) originated.
-
B.
Carassai
Carassai is a small historic hill town in Italy’s Marche region, known for its medieval architecture and scenic countryside setting.
-
C.
Seravezza
Seravezza is a historic Tuscan town in central Italy, known for its marble quarries and scenic location in the Apuan Alps.
-
D.
Norcino
Norcino is the Italian demonym for a person from Norcia, a town in the Umbria region of central Italy.
-
E.
Gavignano
Gavignano is a small Italian town in the Lazio region, historically notable as the birthplace of Pope Innocent III.
- 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_69d86d9e6b44819085d1f6a969ecb74c |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e050b35ea48190a758ee76a57b5451 |
completed | April 16, 2026, 3 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff998397688190a77b6a7c5b542f7e |
completed | May 9, 2026, 8:30 p.m. |
Created at: April 10, 2026, 4:47 a.m.