Triple
T19710844
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Me, Myself & I |
E473339
|
entity |
| Predicate | executiveProducer |
P7225
|
FINISHED |
| Object | Dan Kopelman |
—
|
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: Dan Kopelman | Statement: [Me, Myself & I, executiveProducer, Dan Kopelman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dan Kopelman Context triple: [Me, Myself & I, executiveProducer, Dan Kopelman]
-
A.
Dan Kopelman
chosen
Dan Kopelman is a television writer and producer best known for creating the CBS sitcom "Me, Myself & I."
-
B.
Will Kopelman
Will Kopelman is an American art consultant and former actor best known for his high-profile marriage to actress Drew Barrymore.
-
C.
Mitch Kertzman
Mitch Kertzman is an American technology executive and entrepreneur best known for his leadership roles in the software and semiconductor industries, including at companies like LSI Logic and Sybase.
-
D.
Neil Kaplan
Neil Kaplan is an American voice actor best known for portraying heroic characters in animation and video games, including Optimus Prime in the "Transformers: Robots in Disguise" series.
-
E.
Daniel Blumberg
Daniel Blumberg is a British musician and composer known for his experimental work in indie rock and film scores.
- 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_69d8e516dd048190a0b6c93ea3e71f58 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e64407ed208190944ae43b5e44bbdc |
completed | April 20, 2026, 3:19 p.m. |
Created at: April 10, 2026, 1:46 p.m.