Triple
T22090162
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brittle brothers |
E545891
|
entity |
| Predicate | portrayedBy |
P1507
|
FINISHED |
| Object | M.C. Gainey |
—
|
NE NERFINISHED |
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: M.C. Gainey | Statement: [Brittle brothers, portrayedBy, M.C. Gainey]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: M.C. Gainey Context triple: [Brittle brothers, portrayedBy, M.C. Gainey]
-
A.
M.C. Gainey
chosen
M.C. Gainey is an American character actor known for his rugged appearance and frequent roles as villains or tough authority figures in film and television.
-
B.
D. B. Gainey
D. B. Gainey is an individual notable enough to be recognized as a prominent bearer of the Gainey surname.
-
C.
Corey Gaines
Corey Gaines is an American basketball coach and former player best known for leading the WNBA’s Phoenix Mercury to a championship as head coach.
-
D.
T. J. Gainey
T. J. Gainey is an American professional golfer known for his unconventional swing and success on the PGA Tour.
-
E.
Matt Gourley
Matt Gourley is an American comedian, actor, and podcaster known for his character work, improv, and co-hosting popular comedy podcasts.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e36d03c8190a83a1ba802b7231b |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f128e53dfc81909858cdad8b09c5fb |
completed | April 28, 2026, 9:38 p.m. |
Created at: April 16, 2026, 8:29 p.m.