Triple
T2858151
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arthur Edeson |
E63252
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Edeson
Edeson is a surname most notably associated with Arthur Edeson, a pioneering American cinematographer known for his work on classic Hollywood films.
|
E305090
|
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: Edeson | Statement: [Arthur Edeson, familyName, Edeson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Edeson Context triple: [Arthur Edeson, familyName, Edeson]
-
A.
Edenfield
Edenfield is a village in Lancashire, England, situated within the Rossendale Valley and known for its rural setting and historic stone-built houses.
-
B.
Manton
Manton is a neighborhood and village area located within Providence County in the state of Rhode Island.
-
C.
Wherstead
Wherstead is a small rural village and civil parish located just south of Ipswich in Suffolk, England, known for its agricultural landscape and proximity to the River Orwell.
-
D.
Wereham
Wereham is a small rural village in Norfolk, England, known for its historic church and traditional village green.
-
E.
Woodbury
Woodbury is a master-planned residential village within the city of Irvine, California, known for its organized neighborhoods, parks, and community amenities.
- 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: Edeson Triple: [Arthur Edeson, familyName, Edeson]
Generated description
Edeson is a surname most notably associated with Arthur Edeson, a pioneering American cinematographer known for his work on classic Hollywood films.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Edeson Target entity description: Edeson is a surname most notably associated with Arthur Edeson, a pioneering American cinematographer known for his work on classic Hollywood films.
-
A.
Edenfield
Edenfield is a village in Lancashire, England, situated within the Rossendale Valley and known for its rural setting and historic stone-built houses.
-
B.
Manton
Manton is a neighborhood and village area located within Providence County in the state of Rhode Island.
-
C.
Wherstead
Wherstead is a small rural village and civil parish located just south of Ipswich in Suffolk, England, known for its agricultural landscape and proximity to the River Orwell.
-
D.
Wereham
Wereham is a small rural village in Norfolk, England, known for its historic church and traditional village green.
-
E.
Woodbury
Woodbury is a master-planned residential village within the city of Irvine, California, known for its organized neighborhoods, parks, and community amenities.
- 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_69ab4c41e8c08190a9e8f5249cc12610 |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abdf89d3b4819086936f26d8683a2a |
completed | March 7, 2026, 8:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b01d91f6448190866f6ee0491041cf |
completed | March 10, 2026, 1:33 p.m. |
| NEDg | Description generation | batch_69b01e45f6e481908665e0961c3a3778 |
completed | March 10, 2026, 1:36 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b0224832108190be252c0245d588d2 |
completed | March 10, 2026, 1:53 p.m. |
Created at: March 6, 2026, 10:02 p.m.