Triple
T1408158
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Boondock Saints |
E31743
|
entity |
| Predicate | writer |
P1360
|
FINISHED |
| Object | Troy Duffy |
E275211
|
NE FINISHED |
How this triple was built (2 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: Troy Duffy | Statement: [The Boondock Saints, writer, Troy Duffy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Troy Duffy Context triple: [The Boondock Saints, writer, Troy Duffy]
-
A.
Troy Duffy
chosen
Troy Duffy is an American filmmaker and musician best known for writing and directing the cult crime film "The Boondock Saints."
-
B.
Patrick Dodson
Patrick Dodson is an Australian Aboriginal leader, activist, and politician widely regarded as the "father of reconciliation" for his work advancing Indigenous rights and social justice.
-
C.
Sean Kilpatrick
Sean Kilpatrick is an American professional basketball player known for his scoring ability as a guard in the NBA and overseas leagues.
-
D.
Tim McClelland
Tim McClelland is a former Major League Baseball umpire known for his long tenure, distinctive strike zone, and involvement in several high-profile postseason games.
-
E.
Ed McCauley
Ed McCauley is a Canadian academic and research leader who serves as president of the University of Calgary.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69af5cac2ab08190a41b6ac9802526ee |
completed | March 9, 2026, 11:50 p.m. |
Created at: March 1, 2026, 7:59 p.m.