Triple
T9184080
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Queen Elizabeth’s School, Barnet |
E220408
|
entity |
| Predicate | hasNotableAlumni |
P51
|
FINISHED |
| Object |
Nimrod Kamer
Nimrod Kamer is a satirical journalist and media personality known for his provocative stunts and irreverent commentary on politics and celebrity culture.
|
E783073
|
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: Nimrod Kamer | Statement: [Queen Elizabeth’s School, Barnet, hasNotableAlumni, Nimrod Kamer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nimrod Kamer Context triple: [Queen Elizabeth’s School, Barnet, hasNotableAlumni, Nimrod Kamer]
-
A.
Karam Nimri
Karam Nimri is the father of Spanish actress and singer Najwa Nimri.
-
B.
Kario Salem
Kario Salem is an American screenwriter and actor best known for his work on crime and drama films and television projects.
-
C.
Nabil Elderkin
Nabil Elderkin is an acclaimed photographer and music video director known for his visually striking work with artists such as Kanye West, Frank Ocean, and John Legend.
-
D.
Armin Mizani
Armin Mizani is an American local government leader and attorney who serves as the mayor of Keller, Texas.
-
E.
David Kreuger
David Kreuger is a Swedish music producer and songwriter known for his work on late-1990s and early-2000s pop hits, particularly within the Cheiron Studios team.
- 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: Nimrod Kamer Triple: [Queen Elizabeth’s School, Barnet, hasNotableAlumni, Nimrod Kamer]
Generated description
Nimrod Kamer is a satirical journalist and media personality known for his provocative stunts and irreverent commentary on politics and celebrity culture.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nimrod Kamer Target entity description: Nimrod Kamer is a satirical journalist and media personality known for his provocative stunts and irreverent commentary on politics and celebrity culture.
-
A.
Karam Nimri
Karam Nimri is the father of Spanish actress and singer Najwa Nimri.
-
B.
Kario Salem
Kario Salem is an American screenwriter and actor best known for his work on crime and drama films and television projects.
-
C.
Nabil Elderkin
Nabil Elderkin is an acclaimed photographer and music video director known for his visually striking work with artists such as Kanye West, Frank Ocean, and John Legend.
-
D.
Armin Mizani
Armin Mizani is an American local government leader and attorney who serves as the mayor of Keller, Texas.
-
E.
David Kreuger
David Kreuger is a Swedish music producer and songwriter known for his work on late-1990s and early-2000s pop hits, particularly within the Cheiron Studios team.
- 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_69ca83e6d77c81909862b7afef56b1bf |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccc31734908190b8ebe3b57849ca5f |
completed | April 1, 2026, 7:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d05c1474a08190aa3e3e90326a20d1 |
completed | April 4, 2026, 12:32 a.m. |
| NEDg | Description generation | batch_69d05ca2a3f881909ed9193560b5b0cd |
completed | April 4, 2026, 12:34 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d05d4191f8819083c0ae2a68059c93 |
completed | April 4, 2026, 12:37 a.m. |
Created at: March 30, 2026, 7:24 p.m.