Triple
T14178461
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | From the Fires |
E351390
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Marlon Young |
E1084603
|
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: Marlon Young | Statement: [From the Fires, producer, Marlon Young]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marlon Young Context triple: [From the Fires, producer, Marlon Young]
-
A.
Marlon Young
chosen
Marlon Young is a music producer best known for his work on Greta Van Fleet’s breakout EP "Black Smoke Rising."
-
B.
Rudolph Taylor
Rudolph Taylor is a songwriter credited as one of the writers of the global hit single "Uptown Funk."
-
C.
Troy Garity
Troy Garity is an American actor known for roles in films such as "Barbershop," "Soldier's Girl," and "Sunshine," as well as for being the son of actress Jane Fonda.
-
D.
Joseph Marcell
Joseph Marcell is a British actor best known for playing the witty butler Geoffrey Butler on the sitcom "The Fresh Prince of Bel-Air."
-
E.
Strother Martin
Strother Martin was an American character actor best known for his memorable supporting roles in classic films of the 1960s and 1970s, often portraying quirky or villainous authority figures.
- 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_69d8278834a08190b0f1784e58d7b99c |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de61c90abc8190a9b9dc1f50db59fa |
completed | April 14, 2026, 3:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd19413bd08190930767abc2c588d4 |
completed | May 7, 2026, 10:59 p.m. |
Created at: April 10, 2026, 1:02 a.m.