Triple
T5358956
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Black Mass (2015 film) |
E102772
|
entity |
| Predicate | basedOn |
P98
|
FINISHED |
| Object |
Black Mass: The True Story of an Unholy Alliance Between the FBI and the Irish Mob
Black Mass: The True Story of an Unholy Alliance Between the FBI and the Irish Mob is a nonfiction book that chronicles the corrupt relationship between Boston mobster Whitey Bulger and his Winter Hill Gang and their handlers within the FBI.
|
E514064
|
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: Black Mass: The True Story of an Unholy Alliance Between the FBI and the Irish Mob | Statement: [Black Mass (2015 film), basedOn, Black Mass: The True Story of an Unholy Alliance Between the FBI and the Irish Mob]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Black Mass: The True Story of an Unholy Alliance Between the FBI and the Irish Mob Context triple: [Black Mass (2015 film), basedOn, Black Mass: The True Story of an Unholy Alliance Between the FBI and the Irish Mob]
-
A.
Black Mass (2015 film)
Black Mass (2015 film) is a crime drama based on the true story of Boston mobster Whitey Bulger, featuring Johnny Depp in a critically acclaimed, transformative lead performance.
-
B.
Married to the Mob
Married to the Mob is a 1988 American crime comedy film that blends mafia satire with romantic and screwball elements.
-
C.
The FBI Story
The FBI Story is a 1959 crime drama film that chronicles the history and major cases of the Federal Bureau of Investigation through the career of one of its agents.
-
D.
Serpico
Serpico is a 1973 crime drama film based on the true story of NYPD officer Frank Serpico, who exposed widespread police corruption.
-
E.
Murder, Inc.
Murder, Inc. was a notorious organized crime group in the 1930s–1940s that served as the enforcement arm of the American Mafia, carrying out contract killings for various crime families.
- 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: Black Mass: The True Story of an Unholy Alliance Between the FBI and the Irish Mob Triple: [Black Mass (2015 film), basedOn, Black Mass: The True Story of an Unholy Alliance Between the FBI and the Irish Mob]
Generated description
Black Mass: The True Story of an Unholy Alliance Between the FBI and the Irish Mob is a nonfiction book that chronicles the corrupt relationship between Boston mobster Whitey Bulger and his Winter Hill Gang and their handlers within the FBI.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Black Mass: The True Story of an Unholy Alliance Between the FBI and the Irish Mob Target entity description: Black Mass: The True Story of an Unholy Alliance Between the FBI and the Irish Mob is a nonfiction book that chronicles the corrupt relationship between Boston mobster Whitey Bulger and his Winter Hill Gang and their handlers within the FBI.
-
A.
Black Mass (2015 film)
Black Mass (2015 film) is a crime drama based on the true story of Boston mobster Whitey Bulger, featuring Johnny Depp in a critically acclaimed, transformative lead performance.
-
B.
Married to the Mob
Married to the Mob is a 1988 American crime comedy film that blends mafia satire with romantic and screwball elements.
-
C.
The FBI Story
The FBI Story is a 1959 crime drama film that chronicles the history and major cases of the Federal Bureau of Investigation through the career of one of its agents.
-
D.
Serpico
Serpico is a 1973 crime drama film based on the true story of NYPD officer Frank Serpico, who exposed widespread police corruption.
-
E.
Murder, Inc.
Murder, Inc. was a notorious organized crime group in the 1930s–1940s that served as the enforcement arm of the American Mafia, carrying out contract killings for various crime families.
- 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_69bd43d8f7248190b64c140734b5c9a8 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd8631ca2c8190856258bf340f6e5d |
completed | March 20, 2026, 5:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf21e955a8819094a0b12e42e2d6a6 |
completed | March 21, 2026, 10:55 p.m. |
| NEDg | Description generation | batch_69bf23d9ca3881909bfc0a2e99164450 |
completed | March 21, 2026, 11:03 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bf243319448190a30d6e8847d3f4b8 |
completed | March 21, 2026, 11:05 p.m. |
Created at: March 20, 2026, 2:02 p.m.