Triple
T17821372
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Matt Wertz |
E444992
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Matt Wertz |
E444992
|
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: Matt Wertz | Statement: [Matt Wertz, name, Matt Wertz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Matt Wertz Context triple: [Matt Wertz, name, Matt Wertz]
-
A.
Matt Wertz
chosen
Matt Wertz is an American singer-songwriter known for his melodic pop and acoustic-driven music, often associated with the contemporary Christian and indie pop scenes.
-
B.
Jason Bittner
Jason Bittner is an American heavy metal drummer best known for his work with the band Shadows Fall and his highly technical, influential playing style.
-
C.
Matt Walst
Matt Walst is a Canadian rock singer best known as the lead vocalist of the band Three Days Grace.
-
D.
Aaron Stecker
Aaron Stecker is a former American football running back best known for his NFL career with teams like the Tampa Bay Buccaneers and New Orleans Saints.
-
E.
Matt Wolpert
Matt Wolpert is a television writer and producer best known for co-creating the alternate-history space drama series "For All Mankind."
- 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_69d8b9f0de78819099395b14db75a8a6 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e48910eb8881908db8ec08e2752d7d |
completed | April 19, 2026, 7:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a040fc5bcac819085d6f513f5db158b |
completed | May 13, 2026, 5:44 a.m. |
Created at: April 10, 2026, 10:15 a.m.