Triple
T12327277
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nicholas John Sirianni |
E293863
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Sirianni |
E208883
|
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: Sirianni | Statement: [Nicholas John Sirianni, familyName, Sirianni]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sirianni Context triple: [Nicholas John Sirianni, familyName, Sirianni]
-
A.
Sirianni
chosen
Sirianni is an Italian-origin surname borne by various individuals, including American football coach Nick Sirianni.
-
B.
Siguiri
Siguiri is a town in northeastern Guinea known as a center of gold mining along the Niger River.
-
C.
Sintiki
Sintiki is a municipality in the Serres regional unit of Central Macedonia, Greece, known for its rural communities and proximity to the Bulgarian border.
-
D.
Q'orianka
Q'orianka is a Peruvian-American actress, singer, and activist best known for her breakthrough role as Pocahontas in the film "The New World."
-
E.
Seia
Seia is a municipality and town in central Portugal known for its proximity to the Serra da Estrela mountains and natural park.
- 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_69d6ab6ae0dc8190b1522a9c1c55c114 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93f4f90a881908c5060dd197744d1 |
completed | April 10, 2026, 6:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f61e8f0c708190ac16a391089ab747 |
completed | May 2, 2026, 3:55 p.m. |
Created at: April 8, 2026, 9:53 p.m.