Triple
T9034818
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rick Overton |
E216464
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Rick Overton |
E216464
|
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: Rick Overton | Statement: [Rick Overton, name, Rick Overton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rick Overton Context triple: [Rick Overton, name, Rick Overton]
-
A.
Rick Overton
chosen
Rick Overton is an American stand-up comedian, actor, and writer known for his character roles in film and television, including appearances in comedies like "The Informant!"
-
B.
John Overton
John Overton was an early American judge, land speculator, and close associate of Andrew Jackson who played a key role in the development of Tennessee.
-
C.
Kurt Barlow
Kurt Barlow is the ancient, malevolent vampire antagonist in Stephen King’s horror novel "Salem’s Lot."
-
D.
Steve Judd
Steve Judd is the aging, principled former lawman at the heart of the Western film "Ride the High Country," whose moral integrity drives the story’s central conflict.
-
E.
Tim Dutton
Tim Dutton is a British actor known for his work in film, television, and theatre, including roles in period dramas and literary adaptations.
- 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_69ca83d10b608190b2b2f8e0a7faaf14 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc6abf4af481908d21245332329d99 |
completed | April 1, 2026, 12:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfeb8ec0588190a24b4a2aa443399f |
completed | April 3, 2026, 4:32 p.m. |
Created at: March 30, 2026, 7:08 p.m.