Triple
T21723002
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 98° |
E536207
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Jon-John Robinson |
—
|
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: Jon-John Robinson | Statement: [98°, producer, Jon-John Robinson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jon-John Robinson Context triple: [98°, producer, Jon-John Robinson]
-
A.
Jon-John Robinson
chosen
Jon-John Robinson is an American R&B and pop music producer known for his work with artists such as Brandy and for contributing to late-1990s and early-2000s urban contemporary records.
-
B.
Kevin Robinson
Kevin Robinson is a professional BMX rider renowned for his groundbreaking big-air tricks and multiple X Games gold medals.
-
C.
Mac Robinson
Mac Robinson is the affable and quick-witted court clerk on the sitcom "Night Court," known for his calm demeanor and dry sense of humor amid the courtroom chaos.
-
D.
Mac Robinson
Mac Robinson is a writer best known for his work on the series "The Worst."
-
E.
Jake Robinson
Jake Robinson is an American actor best known for his role in the television drama series "American Odyssey."
- 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_69e0c46c6dd88190a595375fa6ebd701 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69efd97150c08190861bdc35416665a9 |
completed | April 27, 2026, 9:47 p.m. |
Created at: April 16, 2026, 6:48 p.m.