Triple
T9036703
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ureli Corelli Hill |
E216512
|
entity |
| Predicate | hasMiddleName |
P143
|
FINISHED |
| Object | Corelli |
E135260
|
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: Corelli | Statement: [Ureli Corelli Hill, hasMiddleName, Corelli]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Corelli Context triple: [Ureli Corelli Hill, hasMiddleName, Corelli]
-
A.
Corelli
chosen
Corelli is an Italian surname most famously associated with Baroque composer and violinist Arcangelo Corelli.
-
B.
Callahan
Callahan is a surname most notably associated with American singer-songwriter Bill Callahan, known for his introspective and minimalist folk music.
-
C.
La Guardia
La Guardia is an Italian-origin surname most famously associated with Fiorello H. La Guardia, the influential three-term mayor of New York City in the early 20th century.
-
D.
Le Fel
Le Fel is a commune in southern France whose name is borne by the Entraygues-le-Fel Appellation d'Origine Contrôlée wine region.
-
E.
Callaghan
Callaghan is a surname of Irish origin borne by numerous notable individuals in politics, sports, and the arts.
- 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_69ca83d10b608190b2b2f8e0a7faaf14 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc6ac1f08c8190be0e37115df11f31 |
completed | April 1, 2026, 12:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfdbd1cd688190a4456f242e6d3ddf |
completed | April 3, 2026, 3:25 p.m. |
Created at: March 30, 2026, 7:08 p.m.