Triple
T15710987
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Be Italian |
E380834
|
entity |
| Predicate | fictionalPerformer |
P25662
|
FINISHED |
| Object | Saraghina |
E1174625
|
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: Saraghina | Statement: [Be Italian, fictionalPerformer, Saraghina]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Saraghina Context triple: [Be Italian, fictionalPerformer, Saraghina]
-
A.
Saraghina
chosen
Saraghina is a memorable, sensual character from Federico Fellini’s film "8½," embodying the protagonist’s early, taboo experiences with desire and womanhood.
-
B.
Serakhulle
Serakhulle refers to the Soninke people, a West African ethnic group historically known for their role in the ancient Ghana Empire and long-distance trade.
-
C.
Sareyn
Sareyn is a small Iranian town renowned for its natural hot springs and status as a popular health and tourism destination.
-
D.
Gharsana
Gharsana is a town in the arid northwestern region of Rajasthan, India, known for its agriculture supported by canal irrigation and its proximity to the India–Pakistan border.
-
E.
Arnara
Arnara is a small municipality in the Lazio region of central Italy, located in the province of Frosinone.
- 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_69d86d9bf930819082b30cf6d169297c |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e04f8f5d6081908243fa59b46b7c76 |
completed | April 16, 2026, 2:55 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff9090e25481909f142b54ac4802f8 |
completed | May 9, 2026, 7:52 p.m. |
Created at: April 10, 2026, 4:45 a.m.