Triple
T20019105
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Devine |
E494801
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object | Adam DeVine |
—
|
NE NERFINISHED |
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: Adam DeVine | Statement: [Devine, hasNotableBearer, Adam DeVine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Adam DeVine Context triple: [Devine, hasNotableBearer, Adam DeVine]
-
A.
Adam DeVine
chosen
Adam DeVine is an American actor, comedian, and writer best known for co-creating and starring in the sitcom "Workaholics" and for his roles in the "Pitch Perfect" film series and various comedy television shows.
-
B.
Rob Riggle
Rob Riggle is an American actor, comedian, and former Marine officer known for his energetic, often over-the-top roles in film and television comedies.
-
C.
Jon Barinholtz
Jon Barinholtz is an American actor and comedian known for his roles on television series such as "Superstore" and "American Auto."
-
D.
Ike Barinholtz
Ike Barinholtz is an American actor, comedian, writer, and director known for his work on the TV series "The Mindy Project" and films such as "Neighbors" and "Blockers."
-
E.
Rob Corddry
Rob Corddry is an American actor and comedian best known for his work on "The Daily Show" and in films like "Hot Tub Time Machine."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69da626bfd288190aa5d65098b6433ae |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e6623e40748190b1abb0ead9acab4e |
completed | April 20, 2026, 5:28 p.m. |
Created at: April 11, 2026, 3:34 p.m.