Triple
T21933244
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sneak Previews |
E541623
|
entity |
| Predicate | coHost |
P5275
|
FINISHED |
| Object | Michael Medved |
—
|
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: Michael Medved | Statement: [Sneak Previews, coHost, Michael Medved]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michael Medved Context triple: [Sneak Previews, coHost, Michael Medved]
-
A.
Michael Medved
chosen
Michael Medved is an American film critic, radio host, and author known for his conservative commentary and popular books on movies and culture.
-
B.
Mike O’Reilly
Mike O’Reilly is a character associated with Johnny Clay, likely involved in criminal or heist-related activities in the same narrative.
-
C.
John Batchelor
John Batchelor is an Australian actor known for his work in film, television, and theatre.
-
D.
Michael Krassner
Michael Krassner is an American musician, composer, and producer best known for his work in experimental and post-rock projects, including founding and leading the Boxhead Ensemble.
-
E.
Jason Hart
Jason Hart is a former American professional basketball player who later became a college coach.
- 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_69e0c47e2e5c81909a7f74ce3de50911 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f12400a1248190b3f8f27f2aa4a858 |
completed | April 28, 2026, 9:17 p.m. |
Created at: April 16, 2026, 7:47 p.m.