Triple
T1920966
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Letter to You |
E40123
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Ron Aniello |
E205912
|
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: Ron Aniello | Statement: [Letter to You, producer, Ron Aniello]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ron Aniello Context triple: [Letter to You, producer, Ron Aniello]
-
A.
Ron Aniello
chosen
Ron Aniello is an American record producer, composer, and musician best known for his extensive collaboration with Bruce Springsteen on several of his later albums.
-
B.
Frank Basile
Frank Basile is an American jazz baritone saxophonist and bandleader known for his work in the New York jazz scene.
-
C.
Gian-Carlo Coppola
Gian-Carlo Coppola was an American film production assistant and aspiring filmmaker, best known as the eldest son of director Francis Ford Coppola who died tragically in a boating accident at a young age.
-
D.
Robert DiNozzi
Robert DiNozzi is a film producer best known for his work on the thriller movie "Flightplan."
-
E.
John F. Hughes
John F. Hughes is a computer scientist known for his contributions to computer graphics and as a co-author of the influential textbook "Computer Graphics: Principles and Practice."
- 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_69a8864298748190a2f2fd34f7ef8d77 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb231de14819091da3a20ed03c430 |
completed | March 7, 2026, 5:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae0310c2e08190aab7443cdfcd072a |
completed | March 8, 2026, 11:15 p.m. |
Created at: March 4, 2026, 7:35 p.m.