Triple
T20093903
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Edgardo Alfonzo |
E496346
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Alfonzo |
—
|
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: Alfonzo | Statement: [Edgardo Alfonzo, familyName, Alfonzo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alfonzo Context triple: [Edgardo Alfonzo, familyName, Alfonzo]
-
A.
Alphonzo
chosen
Alphonzo is the given name of Alphonzo E. Bell Sr., an American oil magnate, real estate developer, and politician influential in early 20th-century Los Angeles.
-
B.
Alonzo
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.
-
C.
Alonzo
Alonzo is a minor character in Disney’s live-action film "102 Dalmatians," appearing as one of the dogs involved in the story’s adventure.
-
D.
Alonzo
Alonzo is a character from T.S. Eliot’s "Old Possum’s Book of Practical Cats" and the musical "Cats," known as one of the Jellicle cats.
-
E.
Ambrosio
Ambrosio is the devout yet ultimately corrupt and tragic monastic protagonist of Matthew Gregory Lewis’s Gothic novel "The Monk."
- 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_69da626eee3881909f3454986d4a6511 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e6666a7a94819080ebabfba9762f97 |
completed | April 20, 2026, 5:46 p.m. |
Created at: April 11, 2026, 11:23 p.m.