Triple
T10396363
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hustle |
E245031
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object |
Sean Kennedy
Sean Kennedy is the central protagonist of the film "Hustle," around whom the story’s primary conflicts and character development revolve.
|
E861599
|
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: Sean Kennedy | Statement: [Hustle, mainCharacter, Sean Kennedy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sean Kennedy Context triple: [Hustle, mainCharacter, Sean Kennedy]
-
A.
Kevin Kennedy
Kevin Kennedy is a screenwriter known for co-writing the 2004 drama film "The Assassination of Richard Nixon."
-
B.
Sam Kennedy
Sam Kennedy is a Major League Baseball executive best known for serving as the president and CEO of the Boston Red Sox.
-
C.
Christopher G. Kennedy
Christopher G. Kennedy is an American businessman and member of the Kennedy political family, known for his work in real estate and public service in Illinois.
-
D.
Sean McDonough
Sean McDonough is an American sportscaster best known for his long career calling Major League Baseball and college sports on national television.
-
E.
Richard Mullen
Richard Mullen is an American record producer and engineer best known for his work on Stevie Ray Vaughan’s landmark blues-rock albums, including "Texas Flood."
- 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: Sean Kennedy Triple: [Hustle, mainCharacter, Sean Kennedy]
Generated description
Sean Kennedy is the central protagonist of the film "Hustle," around whom the story’s primary conflicts and character development revolve.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sean Kennedy Target entity description: Sean Kennedy is the central protagonist of the film "Hustle," around whom the story’s primary conflicts and character development revolve.
-
A.
Kevin Kennedy
Kevin Kennedy is a screenwriter known for co-writing the 2004 drama film "The Assassination of Richard Nixon."
-
B.
Sam Kennedy
Sam Kennedy is a Major League Baseball executive best known for serving as the president and CEO of the Boston Red Sox.
-
C.
Christopher G. Kennedy
Christopher G. Kennedy is an American businessman and member of the Kennedy political family, known for his work in real estate and public service in Illinois.
-
D.
Sean McDonough
Sean McDonough is an American sportscaster best known for his long career calling Major League Baseball and college sports on national television.
-
E.
Richard Mullen
Richard Mullen is an American record producer and engineer best known for his work on Stevie Ray Vaughan’s landmark blues-rock albums, including "Texas Flood."
- 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_69d381b5116081908d85227bab6d3c0c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e9cf79348190975d6c1791e3b621 |
completed | April 7, 2026, 11:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d7fbbad25081908712601404734988 |
completed | April 9, 2026, 7:19 p.m. |
| NEDg | Description generation | batch_69d822d303888190aa556287b3b1cc03 |
completed | April 9, 2026, 10:06 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d859cc1aac8190ab232bb4e4e4fac1 |
completed | April 10, 2026, 2 a.m. |
Created at: April 6, 2026, 12:06 p.m.