Triple
T6507416
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alonso |
E150045
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Alonzo |
E207978
|
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: Alonzo | Statement: [Alonso, hasVariant, Alonzo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alonzo Context triple: [Alonso, hasVariant, Alonzo]
-
A.
Alonzo
chosen
Alonzo is a given name most notably borne by the American mathematician and logician Alonzo Church, a founder of theoretical computer science and lambda calculus.
-
B.
Santonio
Santonio is a locality or district within the municipality of Piove di Sacco in the Veneto region of northern Italy.
-
C.
Adnis Reeves
Adnis Reeves is the late grandfather of Rumi Carter and the father of rapper and entrepreneur Jay-Z.
-
D.
Alonzo Harris
Alonzo Harris is a corrupt and manipulative LAPD narcotics detective portrayed by Denzel Washington in the film "Training Day."
-
E.
Aroldo
Aroldo is a lesser-known opera by Italian composer Giuseppe Verdi, adapted from his earlier work Stiffelio and set in medieval England and Scotland.
- 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_69c687ef291081909d437f035eef1cda |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6996818c881909d036f916da0efb5 |
completed | March 27, 2026, 2:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6cb519b8081908db92ab57ad6e871 |
completed | March 27, 2026, 6:24 p.m. |
Created at: March 27, 2026, 1:43 p.m.