Triple
T19872902
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Heaven Sent |
E477563
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Jason Farmer |
—
|
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: Jason Farmer | Statement: [Heaven Sent, producer, Jason Farmer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jason Farmer Context triple: [Heaven Sent, producer, Jason Farmer]
-
A.
Jason Farmer
Jason Farmer is a songwriter best known for his work on the track "Come Over."
-
B.
Jordan Farmar
Jordan Farmar is an American former professional basketball point guard best known for starring at UCLA and winning two NBA championships with the Los Angeles Lakers.
-
C.
Jason Sehorn
Jason Sehorn is a former American football cornerback best known for his NFL career with the New York Giants in the 1990s and early 2000s.
-
D.
Garrett Fagan
Garrett Fagan was a historian and professor of ancient history, best known for his work on Roman history, public spectacles, and the critical examination of pseudoarchaeology.
-
E.
Nick Feamster
Nick Feamster is a computer scientist known for his research in computer networking, Internet measurement, and network security.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide. chosen
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_69d8e51e7d948190aedbcd6c30361c39 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e658d92f9c8190b363587ed1881c2c |
completed | April 20, 2026, 4:48 p.m. |
Created at: April 10, 2026, 1:51 p.m.