Triple
T1408182
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Boondock Saints |
E31743
|
entity |
| Predicate | portrayedBy |
P1507
|
FINISHED |
| Object |
Brian Mahoney
Brian Mahoney is an actor best known for his role in the cult crime film "The Boondock Saints."
|
E279241
|
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: Brian Mahoney | Statement: [The Boondock Saints, portrayedBy, Brian Mahoney]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brian Mahoney Context triple: [The Boondock Saints, portrayedBy, Brian Mahoney]
-
A.
Sean Kilpatrick
Sean Kilpatrick is an American professional basketball player known for his scoring ability as a guard in the NBA and overseas leagues.
-
B.
Michael McCusker
Michael McCusker is an American film editor known for his work on major Hollywood productions, including the thriller "The Girl on the Train" (2016).
-
C.
Greg Finton
Greg Finton is a film editor known for his work on documentaries and feature films, including the acclaimed documentary "He Named Me Malala."
-
D.
Matthew Mottola
Matthew Mottola is the son of music executive Tommy Mottola.
-
E.
Kevin Swanson
Kevin Swanson is a recurring character on the animated TV show "Family Guy," known as the paraplegic son of Joe and Bonnie Swanson.
- 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: Brian Mahoney Triple: [The Boondock Saints, portrayedBy, Brian Mahoney]
Generated description
Brian Mahoney is an actor best known for his role in the cult crime film "The Boondock Saints."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Brian Mahoney Target entity description: Brian Mahoney is an actor best known for his role in the cult crime film "The Boondock Saints."
-
A.
Sean Kilpatrick
Sean Kilpatrick is an American professional basketball player known for his scoring ability as a guard in the NBA and overseas leagues.
-
B.
Michael McCusker
Michael McCusker is an American film editor known for his work on major Hollywood productions, including the thriller "The Girl on the Train" (2016).
-
C.
Greg Finton
Greg Finton is a film editor known for his work on documentaries and feature films, including the acclaimed documentary "He Named Me Malala."
-
D.
Matthew Mottola
Matthew Mottola is the son of music executive Tommy Mottola.
-
E.
Kevin Swanson
Kevin Swanson is a recurring character on the animated TV show "Family Guy," known as the paraplegic son of Joe and Bonnie Swanson.
- 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_69a49918e1f88190ba610f9dc8114578 |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c3bf7f0c8190aee96818de6ff4a5 |
completed | March 1, 2026, 10:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af6523d8f4819082396925561acdc4 |
completed | March 10, 2026, 12:26 a.m. |
| NEDg | Description generation | batch_69af67ab5eb88190805a6ce91a798a9f |
completed | March 10, 2026, 12:36 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69af686f67fc8190baaf4cabebfcb691 |
completed | March 10, 2026, 12:40 a.m. |
Created at: March 1, 2026, 7:59 p.m.