Triple
T14640998
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michael Parks |
E343721
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Tusk |
—
|
NE GENERATED |
How this triple was built (1 step)
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.
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tusk Context triple: [Michael Parks, notableWork, Tusk]
-
A.
Tusk
chosen
Tusk is a 2014 horror-comedy film written and directed by Kevin Smith about a podcaster who is grotesquely transformed into a walrus by a deranged seafarer.
-
B.
Tusk
Tusk is a Polish surname most prominently associated with Donald Tusk, a leading Polish and European Union politician.
-
C.
Tusk
Tusk is the live Russian boar mascot that represents the University of Arkansas Razorbacks football team at games and events.
-
D.
Komo
Komo is a town located in Hela Province in the Highlands region of Papua New Guinea.
-
E.
Komo
The Komo are an ethnic group indigenous to western Ethiopia, particularly associated with the Gambela Region, with their own distinct language and cultural traditions.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (1 batch)
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_69d822e1a2cc81908e5bb93cf61ce3cc |
completed | April 9, 2026, 10:06 p.m. |
Created at: April 10, 2026, 1:26 a.m.