Triple
T4435106
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Last Train to Paris |
E95629
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Mario Winans |
E212781
|
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: Mario Winans | Statement: [Last Train to Paris, producer, Mario Winans]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mario Winans Context triple: [Last Train to Paris, producer, Mario Winans]
-
A.
Mario Winans
chosen
Mario Winans is an American R&B singer, songwriter, and record producer best known for his solo hit "I Don't Wanna Know" and extensive production work with artists on Bad Boy Records.
-
B.
Kevin Liles
Kevin Liles is an American music executive and entrepreneur best known for his leadership roles at Def Jam Recordings and later at Warner Music Group.
-
C.
Andrew Miano
Andrew Miano is an American film producer known for his work on independent and critically acclaimed movies, often collaborating with director Tom Ford and others.
-
D.
Danny McKnight
Danny McKnight is a U.S. Army Ranger officer known for his leadership during the 1993 Battle of Mogadishu, later depicted in the film "Black Hawk Down."
-
E.
Vincent Franklin
Vincent Franklin is a British character actor known for his work in television comedies and dramas such as "The Thick of It," "Cucumber," and "Bodyguard."
- 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_69b3453ea2b48190a26f154b3b8fece5 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b35588e99881908fea7b71a33e2bb6 |
completed | March 13, 2026, 12:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b61377180c8190898300fe0cd77433 |
completed | March 15, 2026, 2:03 a.m. |
Created at: March 12, 2026, 11:31 p.m.