Triple
T20735664
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carlo Saraceni |
E509696
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Saraceni |
—
|
NE NERFINISHED |
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: Saraceni | Statement: [Carlo Saraceni, familyName, Saraceni]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Saraceni Context triple: [Carlo Saraceni, familyName, Saraceni]
-
A.
Saraceni
chosen
Saraceni is the original Italian family name of Gene Sarazen, the legendary American professional golfer and seven-time major champion.
-
B.
Saracena
Saracena is a historic town and comune in the Calabria region of southern Italy, known for its medieval architecture and traditional Moscato di Saracena wine.
-
C.
Montenars
Montenars is a small municipality in the Friuli Venezia Giulia region of northeastern Italy.
-
D.
Montescaglioso
Montescaglioso is a historic hill town in the Basilicata region of southern Italy, known for its medieval architecture and ancient monastic complexes.
-
E.
Mazzanta
Mazzanta is a coastal locality and seaside resort area within the municipality of Rosignano Marittimo in Tuscany, Italy.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4c589c08190834fb5d86d0efa2b |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c20a02d48190bba22d1bdbeb370d |
completed | April 21, 2026, 12:17 a.m. |
Created at: April 16, 2026, 12:31 p.m.