Triple
T9735564
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Food, Inc. |
E236047
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object |
Christopher Seward
Christopher Seward is a film editor best known for his work on the documentary "Food, Inc."
|
E818638
|
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: Christopher Seward | Statement: [Food, Inc., editedBy, Christopher Seward]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Christopher Seward Context triple: [Food, Inc., editedBy, Christopher Seward]
-
A.
Sidney Blackmer
Sidney Blackmer was an American stage, film, and television actor best known for his character roles in classic Hollywood cinema, including his memorable performance in "Rosemary's Baby."
-
B.
Horace Newton Allen
Horace Newton Allen was an American medical missionary and diplomat who played a key role in introducing Western medicine to Korea in the late 19th century.
-
C.
Nathan C. Wyeth
Nathan C. Wyeth was an American architect best known for designing the first permanent Oval Office in the White House.
-
D.
C. S. Van Winkle
C. S. Van Winkle was an early 19th-century American publisher and printer known for issuing works such as Washington Irving’s "The Legend of Sleepy Hollow."
-
E.
James Sibley
James Sibley was a benefactor whose contributions to healthcare led to a major Washington, D.C. hospital being named in his honor.
- 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: Christopher Seward Triple: [Food, Inc., editedBy, Christopher Seward]
Generated description
Christopher Seward is a film editor best known for his work on the documentary "Food, Inc."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Christopher Seward Target entity description: Christopher Seward is a film editor best known for his work on the documentary "Food, Inc."
-
A.
Sidney Blackmer
Sidney Blackmer was an American stage, film, and television actor best known for his character roles in classic Hollywood cinema, including his memorable performance in "Rosemary's Baby."
-
B.
Horace Newton Allen
Horace Newton Allen was an American medical missionary and diplomat who played a key role in introducing Western medicine to Korea in the late 19th century.
-
C.
Nathan C. Wyeth
Nathan C. Wyeth was an American architect best known for designing the first permanent Oval Office in the White House.
-
D.
C. S. Van Winkle
C. S. Van Winkle was an early 19th-century American publisher and printer known for issuing works such as Washington Irving’s "The Legend of Sleepy Hollow."
-
E.
James Sibley
James Sibley was a benefactor whose contributions to healthcare led to a major Washington, D.C. hospital being named in his honor.
- 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_69ca84d313e88190983ee6ffd0ef60d2 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9eee70d48190af5a833d7b33aaa5 |
completed | April 1, 2026, 10:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1afce9834819090949690b4ca8622 |
completed | April 5, 2026, 12:41 a.m. |
| NEDg | Description generation | batch_69d1b098c3348190a298cfe4921c8921 |
completed | April 5, 2026, 12:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d1b124659481909e7a2ecaf01d8a50 |
completed | April 5, 2026, 12:47 a.m. |
Created at: March 30, 2026, 8:22 p.m.