Triple
T10324270
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Key & Peele |
E242720
|
entity |
| Predicate | executiveProducer |
P7225
|
FINISHED |
| Object |
Ian Roberts
Ian Roberts is an American comedian, writer, and actor best known as a founding member of the Upright Citizens Brigade and a producer and writer on various sketch comedy projects.
|
E869592
|
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: Ian Roberts | Statement: [Key & Peele, executiveProducer, Ian Roberts]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ian Roberts Context triple: [Key & Peele, executiveProducer, Ian Roberts]
-
A.
Ian Roberts
Ian Roberts is a South African actor best known for his roles in film, television, and stage productions, often portraying rugged or authoritative characters.
-
B.
Jonathan Roberts
Jonathan Roberts is an American screenwriter best known for co-writing Disney’s animated classic "The Lion King."
-
C.
Jonathan Roberts
Jonathan Roberts is a creator known for his work on the project or character "Scar."
-
D.
Neil Robinson
Neil Robinson was a standout infielder in Negro league baseball, best known for his strong hitting and long tenure with teams such as the Memphis Red Sox.
-
E.
Paul Roberts
Paul Roberts is known primarily as a former husband of acclaimed American actress Ellen Burstyn.
- 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: Ian Roberts Triple: [Key & Peele, executiveProducer, Ian Roberts]
Generated description
Ian Roberts is an American comedian, writer, and actor best known as a founding member of the Upright Citizens Brigade and a producer and writer on various sketch comedy projects.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ian Roberts Target entity description: Ian Roberts is an American comedian, writer, and actor best known as a founding member of the Upright Citizens Brigade and a producer and writer on various sketch comedy projects.
-
A.
Ian Roberts
Ian Roberts is a South African actor best known for his roles in film, television, and stage productions, often portraying rugged or authoritative characters.
-
B.
Jonathan Roberts
Jonathan Roberts is an American screenwriter best known for co-writing Disney’s animated classic "The Lion King."
-
C.
Jonathan Roberts
Jonathan Roberts is a creator known for his work on the project or character "Scar."
-
D.
Neil Robinson
Neil Robinson was a standout infielder in Negro league baseball, best known for his strong hitting and long tenure with teams such as the Memphis Red Sox.
-
E.
Paul Roberts
Paul Roberts is known primarily as a former husband of acclaimed American actress Ellen Burstyn.
- 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_69d381af787481908bc401325c760a88 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d6ce683c8190bf5385dd04bf2de8 |
completed | April 7, 2026, 10:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d90d76fd88819086c61c40216a8932 |
completed | April 10, 2026, 2:47 p.m. |
| NEDg | Description generation | batch_69d91156a1b08190b5caeff755387692 |
completed | April 10, 2026, 3:03 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d91214c75c8190af55173325a0f409 |
completed | April 10, 2026, 3:07 p.m. |
Created at: April 6, 2026, 11:51 a.m.