Triple
T13060099
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Majid Jordan |
E329173
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object | Jordan Ullman |
E1020173
|
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: Jordan Ullman | Statement: [Majid Jordan, hasMember, Jordan Ullman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jordan Ullman Context triple: [Majid Jordan, hasMember, Jordan Ullman]
-
A.
Jordan Ullman
chosen
Jordan Ullman is a Canadian music producer best known as one half of the R&B duo Majid Jordan, signed to Drake’s OVO Sound label.
-
B.
Jordan Bratman
Jordan Bratman is an American music executive and producer best known for his work in the recording industry and his former marriage to pop singer Christina Aguilera.
-
C.
Jonathan Meiburg
Jonathan Meiburg is an American musician, writer, and ornithologist best known as the frontman of the band Shearwater and for his atmospheric, nature-inspired indie rock.
-
D.
Jeremy Stoppelman
Jeremy Stoppelman is an American entrepreneur best known as the co-founder and longtime CEO of Yelp, a popular online review platform for local businesses.
-
E.
Jonathan Teplitzky
Jonathan Teplitzky is an Australian film director known for character-driven dramas such as "The Railway Man" and "Burning Man."
- 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_69d80771749c81909a6d9197b9504872 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d980be37208190962e91f1e19df159 |
completed | April 10, 2026, 10:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6ead460908190a566f5416e456aeb |
completed | May 3, 2026, 6:27 a.m. |
Created at: April 9, 2026, 8:58 p.m.