Triple
T6954254
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Neighbors |
E161202
|
entity |
| Predicate | writer |
P1360
|
FINISHED |
| Object |
Andrew J. Cohen
Andrew J. Cohen is an American screenwriter and director best known for co-writing hit comedy films such as Neighbors and its sequel.
|
E630755
|
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: Andrew J. Cohen | Statement: [Neighbors, writer, Andrew J. Cohen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Andrew J. Cohen Context triple: [Neighbors, writer, Andrew J. Cohen]
-
A.
Andrew Cohen
Andrew Cohen is an entrepreneur best known as a founder of the wireless technology company Qualcomm.
-
B.
Andrew Cohen
Andrew Cohen is a theoretical physicist known for his work in particle physics and for being one of Howard Georgi’s prominent students.
-
C.
Andrew A. Kosove
Andrew A. Kosove is an American film producer and co-founder of Alcon Entertainment, known for backing major Hollywood features across genres.
-
D.
Ronald M. Cohen
Ronald M. Cohen was an American screenwriter known for his work on politically charged and socially conscious films and television projects.
-
E.
Bruce Cohen
Bruce Cohen is an American film and television producer best known for his work on acclaimed films such as "American Beauty" and "Silver Linings Playbook."
- 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: Andrew J. Cohen Triple: [Neighbors, writer, Andrew J. Cohen]
Generated description
Andrew J. Cohen is an American screenwriter and director best known for co-writing hit comedy films such as Neighbors and its sequel.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Andrew J. Cohen Target entity description: Andrew J. Cohen is an American screenwriter and director best known for co-writing hit comedy films such as Neighbors and its sequel.
-
A.
Andrew Cohen
Andrew Cohen is an entrepreneur best known as a founder of the wireless technology company Qualcomm.
-
B.
Andrew Cohen
Andrew Cohen is a theoretical physicist known for his work in particle physics and for being one of Howard Georgi’s prominent students.
-
C.
Andrew A. Kosove
Andrew A. Kosove is an American film producer and co-founder of Alcon Entertainment, known for backing major Hollywood features across genres.
-
D.
Ronald M. Cohen
Ronald M. Cohen was an American screenwriter known for his work on politically charged and socially conscious films and television projects.
-
E.
Bruce Cohen
Bruce Cohen is an American film and television producer best known for his work on acclaimed films such as "American Beauty" and "Silver Linings Playbook."
- 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_69c68852a9a0819097797e31d492e273 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6dacca12481908942ba793a104cc3 |
completed | March 27, 2026, 7:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c75883f6888190a75515be49e7879e |
completed | March 28, 2026, 4:26 a.m. |
| NEDg | Description generation | batch_69c759a5eebc8190934ea04a2ce20287 |
completed | March 28, 2026, 4:31 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c75a19d27c819089cfa625dfccfe6f |
completed | March 28, 2026, 4:33 a.m. |
Created at: March 27, 2026, 2:29 p.m.