Triple
T5628301
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brown Sugar |
E147773
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Jimmy Miller |
E534922
|
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: Jimmy Miller | Statement: [Brown Sugar, producer, Jimmy Miller]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jimmy Miller Context triple: [Brown Sugar, producer, Jimmy Miller]
-
A.
Jimmy Miller
Jimmy Miller is a film and television producer best known for his work on hit comedies such as "Step Brothers" and other projects with major Hollywood comedians.
-
B.
Jimmy Miller
chosen
Jimmy Miller was a renowned record producer best known for his work on classic rock albums by the Rolling Stones, including several of their most acclaimed late-1960s and early-1970s releases.
-
C.
Jim Miller
Jim Miller is a film editor known for his work on major Hollywood productions, including the science-fiction comedy "Men in Black."
-
D.
Dan Miller
Dan Miller is an American singer best known as a member of the early 2000s boy band O-Town formed on the reality TV show "Making the Band."
-
E.
Robert Lane Miller
Robert Lane Miller is an American author and legal expert known for his work on international business law and cross-border transactions.
- 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_69c00906f2a88190a992c66b13d606d4 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c02239500c8190ad3035e44c3b0670 |
completed | March 22, 2026, 5:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c05a12b5bc8190a300a53a6423e81c |
completed | March 22, 2026, 9:07 p.m. |
Created at: March 22, 2026, 3:40 p.m.