Triple
T2289483
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Back to Basics |
E51469
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Rich Harrison |
E165326
|
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: Rich Harrison | Statement: [Back to Basics, producer, Rich Harrison]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rich Harrison Context triple: [Back to Basics, producer, Rich Harrison]
-
A.
Rich Harrison
chosen
Rich Harrison is an American record producer and songwriter known for crafting soulful, sample-heavy R&B and hip-hop hits for artists like Beyoncé and Amerie.
-
B.
Rich Silverstein
Rich Silverstein is an influential American advertising executive and co-founder of the agency Goodby, Silverstein & Partners, known for iconic campaigns such as “Got Milk?”.
-
C.
Leon Black
Leon Black is an American billionaire investor and co-founder of the private equity firm Apollo Global Management.
-
D.
David Tepper
David Tepper is an American billionaire hedge fund manager and philanthropist, best known as the founder of Appaloosa Management and as a prominent NFL and MLS team owner.
-
E.
Mark Davis
Mark Davis is a computer scientist and software engineer best known for co-founding the Unicode Consortium and helping to design and standardize the Unicode character encoding system.
- 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_69a88b09c644819090b503456d96bf70 |
completed | March 4, 2026, 7:42 p.m. |
| NER | Named-entity recognition | batch_69abc273b67c8190bcd96f9a484647ef |
completed | March 7, 2026, 6:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae7f1e84ac819096cb62ce5e94d865 |
completed | March 9, 2026, 8:04 a.m. |
Created at: March 4, 2026, 7:48 p.m.