Triple
T4246218
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Suit |
E95533
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Ron Feemster |
E275774
|
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 Feemster | Statement: [Suit, producer, Ron Feemster]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ron Feemster Context triple: [Suit, producer, Ron Feemster]
-
A.
Ron Feemster
chosen
Ron Feemster is a music producer known for his work on the album "Afrodisiac."
-
B.
David Stavens
David Stavens is an entrepreneur and computer scientist best known as a co-founder of the online education platform Udacity.
-
C.
Tim Latta
Tim Latta is a soccer executive best known for serving as the general manager of the early Major League Soccer club Kansas City Wiz (now Sporting Kansas City).
-
D.
Jonathan Corwin
Jonathan Corwin was a 17th-century Massachusetts magistrate best known as one of the judges who presided over the Salem witch trials.
-
E.
Michael Schultz
Michael Schultz is an American film and television director best known for his influential work on 1970s comedies and dramas, including the cult classic "Car Wash."
- 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_69b3453d91548190b4d4ef8fe52aa2ac |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b34e8db5bc8190873c5ae3753aaa58 |
completed | March 12, 2026, 11:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5b77ce4d48190ba24e3ef8c9ceb8d |
completed | March 14, 2026, 7:31 p.m. |
Created at: March 12, 2026, 11:05 p.m.