Triple
T12243623
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Matt Kenseth |
E291795
|
entity |
| Predicate | fullName |
P16
|
FINISHED |
| Object | Matthew Roy Kenseth |
E291795
|
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: Matthew Roy Kenseth | Statement: [Matt Kenseth, fullName, Matthew Roy Kenseth]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Matthew Roy Kenseth Context triple: [Matt Kenseth, fullName, Matthew Roy Kenseth]
-
A.
Matt Kenseth
chosen
Matt Kenseth is an American NASCAR driver and 2003 Cup Series champion known for his consistency and success in stock car racing.
-
B.
Ryan Newman
Ryan Newman is an American professional stock car racing driver known for his long NASCAR Cup Series career, including successful stints with top teams and a reputation for strong qualifying performances.
-
C.
Kevin Harvick
Kevin Harvick is an American professional stock car racing driver and NASCAR Cup Series champion known for his long and successful career in motorsports.
-
D.
Kurt Busch
Kurt Busch is an American professional stock car racing driver and NASCAR Cup Series champion known for his long and successful career with multiple top teams.
-
E.
Kyle Newman
Kyle Newman is an American filmmaker best known for directing genre-blending comedies and action films, including the teen spy movie "Barely Lethal."
- 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_69d6ab67950c8190be08450a06228c4b |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91cb724448190be29fc1d2b946ab7 |
completed | April 10, 2026, 3:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6555ab68881908813e45548281df3 |
completed | May 2, 2026, 7:49 p.m. |
Created at: April 8, 2026, 9:51 p.m.