Triple
T14283236
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bad Education |
E354102
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object |
Student Joe Poulter
Student Joe Poulter is a minor pupil character in the British sitcom "Bad Education," appearing as one of the students taught by the inept teacher Alfie Wickers.
|
E1090601
|
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: Student Joe Poulter | Statement: [Bad Education, character, Student Joe Poulter]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Student Joe Poulter Context triple: [Bad Education, character, Student Joe Poulter]
-
A.
Alex Pugsley
Alex Pugsley is a Canadian writer and screenwriter known for his work in television and fiction.
-
B.
Ethan Buckler
Ethan Buckler is an American musician best known as the original bassist for the influential post-rock band Slint.
-
C.
Chris Poole
Chris Poole is a writer best known for his work on the film "In the Mix."
-
D.
Jacob Poole
Jacob Poole was a 19th-century Irish scholar best known for compiling and preserving the vocabulary and records of the now-extinct Yola language of County Wexford.
-
E.
Jack Kelson
Jack Kelson is the central protagonist of the film "American Heart," portrayed as a recently paroled ex-convict struggling to rebuild his life and reconnect with his son.
- 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: Student Joe Poulter Triple: [Bad Education, character, Student Joe Poulter]
Generated description
Student Joe Poulter is a minor pupil character in the British sitcom "Bad Education," appearing as one of the students taught by the inept teacher Alfie Wickers.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Student Joe Poulter Target entity description: Student Joe Poulter is a minor pupil character in the British sitcom "Bad Education," appearing as one of the students taught by the inept teacher Alfie Wickers.
-
A.
Alex Pugsley
Alex Pugsley is a Canadian writer and screenwriter known for his work in television and fiction.
-
B.
Ethan Buckler
Ethan Buckler is an American musician best known as the original bassist for the influential post-rock band Slint.
-
C.
Chris Poole
Chris Poole is a writer best known for his work on the film "In the Mix."
-
D.
Jacob Poole
Jacob Poole was a 19th-century Irish scholar best known for compiling and preserving the vocabulary and records of the now-extinct Yola language of County Wexford.
-
E.
Jack Kelson
Jack Kelson is the central protagonist of the film "American Heart," portrayed as a recently paroled ex-convict struggling to rebuild his life and reconnect with his son.
- 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_69d8278d25148190abf1a8c8f5f533ad |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de697d9fd08190b0cd7a6a6737ba03 |
completed | April 14, 2026, 4:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd3d1a6d8081908e857143c0c809c0 |
completed | May 8, 2026, 1:32 a.m. |
| NEDg | Description generation | batch_69fd3da6f0648190876dd86dd51e72cc |
completed | May 8, 2026, 1:34 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd3e30868481908b55b368ab45c7fb |
completed | May 8, 2026, 1:36 a.m. |
Created at: April 10, 2026, 1:10 a.m.