Triple
T12436707
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | For Those in Peril |
E297161
|
entity |
| Predicate | director |
P255
|
FINISHED |
| Object |
Paul Wright
Paul Wright is a Scottish film director best known for his acclaimed feature debut "For Those in Peril."
|
E1023159
|
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: Paul Wright | Statement: [For Those in Peril, director, Paul Wright]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Paul Wright Context triple: [For Those in Peril, director, Paul Wright]
-
A.
Ray Wright
Ray Wright is a screenwriter known for his work on the film "Case 39" and other genre-focused screenplays.
-
B.
Max Wright
Max Wright was an American actor best known for playing the father, Willie Tanner, on the 1980s sitcom "ALF."
-
C.
Brian Wright
Brian Wright is an NBA executive best known as the general manager responsible for overseeing basketball operations and roster decisions for the San Antonio Spurs.
-
D.
Mark Wright
Mark Wright is an American country music producer and record executive known for his work with numerous prominent artists and hit albums.
-
E.
Austin Wright
Austin Wright was an American novelist and academic best known for his psychological thriller "Tony and Susan," which was later adapted into the film "Nocturnal Animals."
- 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: Paul Wright Triple: [For Those in Peril, director, Paul Wright]
Generated description
Paul Wright is a Scottish film director best known for his acclaimed feature debut "For Those in Peril."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Paul Wright Target entity description: Paul Wright is a Scottish film director best known for his acclaimed feature debut "For Those in Peril."
-
A.
Ray Wright
Ray Wright is a screenwriter known for his work on the film "Case 39" and other genre-focused screenplays.
-
B.
Max Wright
Max Wright was an American actor best known for playing the father, Willie Tanner, on the 1980s sitcom "ALF."
-
C.
Brian Wright
Brian Wright is an NBA executive best known as the general manager responsible for overseeing basketball operations and roster decisions for the San Antonio Spurs.
-
D.
Mark Wright
Mark Wright is an American country music producer and record executive known for his work with numerous prominent artists and hit albums.
-
E.
Austin Wright
Austin Wright was an American novelist and academic best known for his psychological thriller "Tony and Susan," which was later adapted into the film "Nocturnal Animals."
- 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_69d6ada0640c81908c061d7fb3d47786 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94d8c8fd481909b35ac504127a1b6 |
completed | April 10, 2026, 7:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6e256fe408190bd40b62eb51b6ef9 |
completed | May 3, 2026, 5:51 a.m. |
| NEDg | Description generation | batch_69f6e62bfa4c8190ac8ae42a1a53f521 |
completed | May 3, 2026, 6:07 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6e6c30144819096acf6de7317d097 |
completed | May 3, 2026, 6:10 a.m. |
Created at: April 8, 2026, 9:55 p.m.