Triple
T16645620
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rob Wiethoff |
E404460
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Rob Wiethoff |
E404460
|
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: Rob Wiethoff | Statement: [Rob Wiethoff, name, Rob Wiethoff]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rob Wiethoff Context triple: [Rob Wiethoff, name, Rob Wiethoff]
-
A.
Rob Wiethoff
chosen
Rob Wiethoff is an American actor best known for portraying and voicing the protagonist John Marston in the Red Dead Redemption video game series.
-
B.
Paul Weidner
Paul Weidner was a German architect best known for designing the original building of Dresden Hauptbahnhof, one of the city's major railway stations.
-
C.
Tom Osthoff
Tom Osthoff is an American politician who served as a member of the Minnesota House of Representatives.
-
D.
Greg Wuliger
Greg Wuliger is Chris Rock’s loyal, nerdy best friend in the sitcom "Everybody Hates Chris," known for his quirky personality and unwavering support.
-
E.
John Reister
John Reister was an early settler and landowner after whom the community of Reisterstown, Maryland, was named.
- 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_69d8838a41f08190b0c3f79c47df5078 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37ad59540819093765b7a67320f72 |
completed | April 18, 2026, 12:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a008a2f1da48190a1a01dbe25f8f0e9 |
completed | May 10, 2026, 1:37 p.m. |
Created at: April 10, 2026, 5:18 a.m.