Triple
T5142880
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jim Jarmusch |
E115999
|
entity |
| Predicate | directed |
P7373
|
FINISHED |
| Object |
Paterson
Paterson is a 2016 independent drama film that quietly follows a week in the life of a bus driver-poet in New Jersey, reflecting on routine, creativity, and everyday beauty.
|
E592799
|
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: Paterson | Statement: [Jim Jarmusch, directed, Paterson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Paterson Context triple: [Jim Jarmusch, directed, Paterson]
-
A.
Paterson
Paterson is an Australian federal electoral division in New South Wales, represented in the national Parliament.
-
B.
Paterson
Paterson is a Scottish-origin surname borne by various notable individuals across politics, law, sports, and the arts.
-
C.
Paterson, New Jersey
Paterson, New Jersey is a historic industrial city in northern New Jersey known for its diverse immigrant communities, including a significant Dutch American presence.
-
D.
Newburgh
Newburgh is a small rural village in Lancashire, England, known for its historic buildings and scenic countryside setting.
-
E.
Newburgh
Newburgh is a small historic town in eastern Scotland known for its scenic setting on the River Tay and its traditional Scottish character.
- 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: Paterson Triple: [Jim Jarmusch, directed, Paterson]
Generated description
Paterson is a 2016 independent drama film that quietly follows a week in the life of a bus driver-poet in New Jersey, reflecting on routine, creativity, and everyday beauty.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Paterson Target entity description: Paterson is a 2016 independent drama film that quietly follows a week in the life of a bus driver-poet in New Jersey, reflecting on routine, creativity, and everyday beauty.
-
A.
Paterson
Paterson is an Australian federal electoral division in New South Wales, represented in the national Parliament.
-
B.
Paterson
Paterson is a Scottish-origin surname borne by various notable individuals across politics, law, sports, and the arts.
-
C.
Paterson, New Jersey
Paterson, New Jersey is a historic industrial city in northern New Jersey known for its diverse immigrant communities, including a significant Dutch American presence.
-
D.
Newburgh
Newburgh is a small rural village in Lancashire, England, known for its historic buildings and scenic countryside setting.
-
E.
Newburgh
Newburgh is a small historic town in eastern Scotland known for its scenic setting on the River Tay and its traditional Scottish character.
- 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_69bd4446c0e08190a7c29dc74976bf03 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd787ff1c081909a6954aa76e12cbf |
completed | March 20, 2026, 4:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6409132c481909f287f98290497f9 |
completed | March 27, 2026, 8:32 a.m. |
| NEDg | Description generation | batch_69c6431b4fa48190b92ef0d4af50f84a |
completed | March 27, 2026, 8:43 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c643e3d6488190851d1a35bb7b2c6c |
completed | March 27, 2026, 8:46 a.m. |
Created at: March 20, 2026, 1:43 p.m.