Triple
T16375772
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nate Werth |
E397675
|
entity |
| Predicate | associatedAct |
P37
|
FINISHED |
| Object | Larnell Lewis |
E1210533
|
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: Larnell Lewis | Statement: [Nate Werth, associatedAct, Larnell Lewis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Larnell Lewis Context triple: [Nate Werth, associatedAct, Larnell Lewis]
-
A.
Larnell Lewis
chosen
Larnell Lewis is a Canadian Grammy-winning jazz and fusion drummer, composer, and educator best known for his work with the band Snarky Puppy.
-
B.
Norm Lewis
Norm Lewis is an American baritone actor and singer best known for his work on Broadway and in film and television, including roles in productions like The Phantom of the Opera and Scandal.
-
C.
Larvell Jones
Larvell Jones is a character from the "Police Academy" film series, best known for his remarkable ability to produce realistic sound effects with his voice.
-
D.
Darnell Lewis
Darnell Lewis is a central comedic character in the film "Get Hard," portrayed as a small-business owner who helps a wealthy, naive financier prepare for prison life.
-
E.
Darnell Earley
Darnell Earley is an American public administrator best known for his controversial role overseeing Flint, Michigan, during the period leading up to the city's water crisis.
- 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_69d87f2880b48190ae1a9673a3bbef80 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e319d79df8819087285b9457b7bdb6 |
completed | April 18, 2026, 5:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a003c522a7c8190a306b85354a087fd |
completed | May 10, 2026, 8:05 a.m. |
Created at: April 10, 2026, 5:08 a.m.