Triple
T1408186
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Boondock Saints |
E31743
|
entity |
| Predicate | portrayedBy |
P1507
|
FINISHED |
| Object | Kim Coates |
E162176
|
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: Kim Coates | Statement: [The Boondock Saints, portrayedBy, Kim Coates]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kim Coates Context triple: [The Boondock Saints, portrayedBy, Kim Coates]
-
A.
Kim Coates
chosen
Kim Coates is a Canadian-American actor best known for his role as the ruthless yet charismatic biker Tig Trager on the television series "Sons of Anarchy."
-
B.
Alan Cox
Alan Cox is a prominent British software engineer best known for his extensive work on the Linux kernel and long-standing contributions to the free software movement.
-
C.
Douglas Kirk
Douglas Kirk is an individual notable enough to be recognized as a prominent bearer of the surname Kirk.
-
D.
John Dawson
John Dawson was a pioneering American plasma physicist renowned for his foundational contributions to plasma theory and fusion research.
-
E.
Christopher Fettes
Christopher Fettes is a theatre educator and director best known as the co-founder of Drama Centre London, an influential British drama school.
- 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_69adbf3a615c8190a428d049de4ba023 |
completed | March 8, 2026, 6:26 p.m. |
Created at: March 1, 2026, 7:59 p.m.