Triple
T14766246
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A Fall from Grace |
E347002
|
entity |
| Predicate | editor |
P1954
|
FINISHED |
| Object |
Larry Sexton
Larry Sexton is a film editor known for his work on the movie "A Fall from Grace."
|
E1147959
|
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: Larry Sexton | Statement: [A Fall from Grace, editor, Larry Sexton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Larry Sexton Context triple: [A Fall from Grace, editor, Larry Sexton]
-
A.
Larry Seiple
Larry Seiple is a former American football player best known as the versatile punter and occasional offensive contributor for the Miami Dolphins during their dominant early-1970s era.
-
B.
Ted Daughety
Ted Daughety is an American physician and pulmonologist best known as the husband of Kansas Governor Laura Kelly.
-
C.
Ray Cusick
Ray Cusick was a British designer best known for creating the iconic look of the Daleks in the long-running science fiction television series Doctor Who.
-
D.
Glen Tullman
Glen Tullman is an American healthcare technology entrepreneur and executive best known for leading and building major digital health companies, including Allscripts.
-
E.
Larry Haines
Larry Haines was an American actor best known for his long-running role on the television soap opera "Search for Tomorrow."
- 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: Larry Sexton Triple: [A Fall from Grace, editor, Larry Sexton]
Generated description
Larry Sexton is a film editor known for his work on the movie "A Fall from Grace."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Larry Sexton Target entity description: Larry Sexton is a film editor known for his work on the movie "A Fall from Grace."
-
A.
Larry Seiple
Larry Seiple is a former American football player best known as the versatile punter and occasional offensive contributor for the Miami Dolphins during their dominant early-1970s era.
-
B.
Ted Daughety
Ted Daughety is an American physician and pulmonologist best known as the husband of Kansas Governor Laura Kelly.
-
C.
Ray Cusick
Ray Cusick was a British designer best known for creating the iconic look of the Daleks in the long-running science fiction television series Doctor Who.
-
D.
Glen Tullman
Glen Tullman is an American healthcare technology entrepreneur and executive best known for leading and building major digital health companies, including Allscripts.
-
E.
Larry Haines
Larry Haines was an American actor best known for his long-running role on the television soap opera "Search for Tomorrow."
- 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_69d822e8896c819091169882f9b20486 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dec7f576c881909da70627f5897c94 |
completed | April 14, 2026, 11:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69feef5e176081909e822881a866ecec |
completed | May 9, 2026, 8:25 a.m. |
| NEDg | Description generation | batch_69feefd76a8081908c9167209f9b1ce3 |
completed | May 9, 2026, 8:27 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fef142023481909c82cd0056feeceb |
completed | May 9, 2026, 8:33 a.m. |
Created at: April 10, 2026, 1:30 a.m.