Triple
T6239890
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Some Lessons Learned |
E139572
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Nick Paul
Nick Paul is a music producer known for his work on projects such as the release "Some Lessons Learned."
|
E578831
|
NE FINISHED |
How this triple was built (4 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: Nick Paul | Statement: [Some Lessons Learned, producer, Nick Paul]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nick Paul Context triple: [Some Lessons Learned, producer, Nick Paul]
-
A.
Marcus T. Paulk
Marcus T. Paulk is an American actor and rapper best known for his role as Myles Mitchell on the television sitcom "Moesha."
-
B.
Billy Paultz
Billy Paultz is a former American professional basketball center best known for his successful career in the ABA and NBA during the 1970s and early 1980s, where he was a multiple-time All-Star and key contributor to championship teams.
-
C.
Keith Poulson
Keith Poulson is an American actor known for his work in independent films and for roles in offbeat, character-driven movies.
-
D.
Nick Loftis
Nick Loftis is an entrepreneur best known as a co-founder of the Apple Bottoms urban fashion brand.
-
E.
Matty Malneck
Matty Malneck was an American jazz violinist, songwriter, and bandleader known for his work in the swing era and contributions to film and popular music.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Nick Paul Triple: [Some Lessons Learned, producer, Nick Paul]
Generated description
Nick Paul is a music producer known for his work on projects such as the release "Some Lessons Learned."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nick Paul Target entity description: Nick Paul is a music producer known for his work on projects such as the release "Some Lessons Learned."
-
A.
Marcus T. Paulk
Marcus T. Paulk is an American actor and rapper best known for his role as Myles Mitchell on the television sitcom "Moesha."
-
B.
Billy Paultz
Billy Paultz is a former American professional basketball center best known for his successful career in the ABA and NBA during the 1970s and early 1980s, where he was a multiple-time All-Star and key contributor to championship teams.
-
C.
Keith Poulson
Keith Poulson is an American actor known for his work in independent films and for roles in offbeat, character-driven movies.
-
D.
Nick Loftis
Nick Loftis is an entrepreneur best known as a co-founder of the Apple Bottoms urban fashion brand.
-
E.
Matty Malneck
Matty Malneck was an American jazz violinist, songwriter, and bandleader known for his work in the swing era and contributions to film and popular music.
- F. None of above. chosen
Provenance (5 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_69c008b0e7ac8190808a59573ee646f3 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c063067d9c819085a18d9d03939266 |
completed | March 22, 2026, 9:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c20e07bff8819091ca881c9b4daaf6 |
completed | March 24, 2026, 4:07 a.m. |
| NEDg | Description generation | batch_69c214aaef308190be1166c1389bf3d3 |
completed | March 24, 2026, 4:35 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c21508dbec8190b9bb4806a83ecb13 |
completed | March 24, 2026, 4:37 a.m. |
Created at: March 22, 2026, 4:23 p.m.