Triple
T20387166
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Selfie (TV series) |
E497988
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object |
Tim Peper
Tim Peper is an American actor known for his roles in television comedies and dramas, including the sitcom "Selfie."
|
E1427500
|
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: Tim Peper | Statement: [Selfie (TV series), starring, Tim Peper]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tim Peper Context triple: [Selfie (TV series), starring, Tim Peper]
-
A.
Richard Pepple
Richard Pepple is a British-Nigerian actor known for his roles in film and television, including appearances in series such as The Rig.
-
B.
Stephen Peck
Stephen Peck is an American veteran and longtime advocate for homeless veterans who serves as president and CEO of U.S.VETS, a leading nonprofit dedicated to ending veteran homelessness.
-
C.
Tim Lippe
Tim Lippe is the naive, small-town insurance salesman who serves as the protagonist of the comedy film "Cedar Rapids."
-
D.
Steve Speirs
Steve Speirs is a Welsh character actor known for his comedic and supporting roles in British film and television.
-
E.
Rick Peck
Rick Peck is a fictional Hollywood talent agent character from the satirical action-comedy film "Tropic Thunder."
- 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: Tim Peper Triple: [Selfie (TV series), starring, Tim Peper]
Generated description
Tim Peper is an American actor known for his roles in television comedies and dramas, including the sitcom "Selfie."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tim Peper Target entity description: Tim Peper is an American actor known for his roles in television comedies and dramas, including the sitcom "Selfie."
-
A.
Richard Pepple
Richard Pepple is a British-Nigerian actor known for his roles in film and television, including appearances in series such as The Rig.
-
B.
Stephen Peck
Stephen Peck is an American veteran and longtime advocate for homeless veterans who serves as president and CEO of U.S.VETS, a leading nonprofit dedicated to ending veteran homelessness.
-
C.
Tim Lippe
Tim Lippe is the naive, small-town insurance salesman who serves as the protagonist of the comedy film "Cedar Rapids."
-
D.
Steve Speirs
Steve Speirs is a Welsh character actor known for his comedic and supporting roles in British film and television.
-
E.
Rick Peck
Rick Peck is a fictional Hollywood talent agent character from the satirical action-comedy film "Tropic Thunder."
- 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_69e0b4a71ebc8190b153a36c738730f4 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6790c935881908f901d058e6a83a9 |
completed | April 20, 2026, 7:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08761fdb8481908a4b9975c96aade9 |
completed | May 16, 2026, 1:50 p.m. |
| NEDg | Description generation | batch_6a0876b11c248190aefac57c32293ff0 |
completed | May 16, 2026, 1:52 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08772501e08190b6c104b3270cf2da |
completed | May 16, 2026, 1:54 p.m. |
Created at: April 16, 2026, 11:28 a.m.