Triple
T1408172
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Boondock Saints |
E31743
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object |
Connor MacManus
Connor MacManus is one of the twin Irish vigilante brothers who serve as central protagonists in the cult action film "The Boondock Saints."
|
E241561
|
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: Connor MacManus | Statement: [The Boondock Saints, mainCharacter, Connor MacManus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Connor MacManus Context triple: [The Boondock Saints, mainCharacter, Connor MacManus]
-
A.
Andrew Duggan
Andrew Duggan was an American character actor known for his prolific work in film and television from the 1950s through the 1980s.
-
B.
Rob McKenna
Rob McKenna is an American attorney and politician best known for serving as the Attorney General of Washington State.
-
C.
Rob McKenna
Rob McKenna is a perpetually rain-plagued lorry driver in Douglas Adams' "So Long, and Thanks for All the Fish," humorously revealed to be a Rain God unknowingly worshipped by clouds.
-
D.
Daniel Neeson
Daniel Neeson is the son of acclaimed Irish actor Liam Neeson and his late wife, actress Natasha Richardson.
-
E.
Fergus Cullen
Fergus Cullen is an American political strategist and former chairman of the New Hampshire Republican Party.
- 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: Connor MacManus Triple: [The Boondock Saints, mainCharacter, Connor MacManus]
Generated description
Connor MacManus is one of the twin Irish vigilante brothers who serve as central protagonists in the cult action film "The Boondock Saints."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Connor MacManus Target entity description: Connor MacManus is one of the twin Irish vigilante brothers who serve as central protagonists in the cult action film "The Boondock Saints."
-
A.
Andrew Duggan
Andrew Duggan was an American character actor known for his prolific work in film and television from the 1950s through the 1980s.
-
B.
Rob McKenna
Rob McKenna is an American attorney and politician best known for serving as the Attorney General of Washington State.
-
C.
Rob McKenna
Rob McKenna is a perpetually rain-plagued lorry driver in Douglas Adams' "So Long, and Thanks for All the Fish," humorously revealed to be a Rain God unknowingly worshipped by clouds.
-
D.
Daniel Neeson
Daniel Neeson is the son of acclaimed Irish actor Liam Neeson and his late wife, actress Natasha Richardson.
-
E.
Fergus Cullen
Fergus Cullen is an American political strategist and former chairman of the New Hampshire Republican Party.
- 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_69ae5d762bb0819092685731269e57c4 |
completed | March 9, 2026, 5:41 a.m. |
| NEDg | Description generation | batch_69ae5e1ea6108190b22ead618d620613 |
completed | March 9, 2026, 5:43 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae5ea4edcc81908829e4bd64ce0aea |
completed | March 9, 2026, 5:46 a.m. |
Created at: March 1, 2026, 7:59 p.m.