Triple
T20995367
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flesh and Bone |
E517133
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object |
Roy Sweeney
Roy Sweeney is the central protagonist of the film "Flesh and Bone," around whom the story’s dramatic events and character relationships revolve.
|
E1485479
|
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: Roy Sweeney | Statement: [Flesh and Bone, mainCharacter, Roy Sweeney]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Roy Sweeney Context triple: [Flesh and Bone, mainCharacter, Roy Sweeney]
-
A.
Bill Sweeney
Bill Sweeney is a name shared by several notable individuals, including professional athletes and public figures, whose specific identity depends on the context in which it is used.
-
B.
James Sweeney
James Sweeney was a film editor known for his work on mid-20th-century American cinema.
-
C.
Doug Sweeney
Doug Sweeney is a scholar of American religious history known for his work on Jonathan Edwards and evangelicalism.
-
D.
Donald Malarkey
Donald Malarkey was a real-life U.S. Army paratrooper of Easy Company, 506th Parachute Infantry Regiment, whose World War II service was famously depicted in the miniseries "Band of Brothers."
-
E.
John Healy
John Healy is a musician known for being a member of the Irish-American band O'Malley's March.
- 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: Roy Sweeney Triple: [Flesh and Bone, mainCharacter, Roy Sweeney]
Generated description
Roy Sweeney is the central protagonist of the film "Flesh and Bone," around whom the story’s dramatic events and character relationships revolve.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Roy Sweeney Target entity description: Roy Sweeney is the central protagonist of the film "Flesh and Bone," around whom the story’s dramatic events and character relationships revolve.
-
A.
Bill Sweeney
Bill Sweeney is a name shared by several notable individuals, including professional athletes and public figures, whose specific identity depends on the context in which it is used.
-
B.
James Sweeney
James Sweeney was a film editor known for his work on mid-20th-century American cinema.
-
C.
Doug Sweeney
Doug Sweeney is a scholar of American religious history known for his work on Jonathan Edwards and evangelicalism.
-
D.
Donald Malarkey
Donald Malarkey was a real-life U.S. Army paratrooper of Easy Company, 506th Parachute Infantry Regiment, whose World War II service was famously depicted in the miniseries "Band of Brothers."
-
E.
John Healy
John Healy is a musician known for being a member of the Irish-American band O'Malley's March.
- 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_69e0b5006e2881909fc2383f841740cc |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6fc1fd5d48190a56981cee95ebd69 |
completed | April 21, 2026, 4:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a09c8ea61e88190a81be53e2f5172b9 |
completed | May 17, 2026, 1:55 p.m. |
| NEDg | Description generation | batch_6a09ca21f52481909aa6033dbe4c5985 |
completed | May 17, 2026, 2:01 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a09cb9587a88190b0e1c0d25d3733da |
completed | May 17, 2026, 2:07 p.m. |
Created at: April 16, 2026, 1:50 p.m.