Triple
T16161805
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mr. Box Office |
E392196
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object | Tim Meadows |
E385805
|
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: Tim Meadows | Statement: [Mr. Box Office, stars, Tim Meadows]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tim Meadows Context triple: [Mr. Box Office, stars, Tim Meadows]
-
A.
Tim Meadows
chosen
Tim Meadows is an American actor and comedian best known as a longtime cast member on "Saturday Night Live" and for his roles in films and television comedies.
-
B.
Al Bennett
Al Bennett was an American music industry executive best known as the founder and longtime leader of the influential record label Liberty Records.
-
C.
Darrel Anderson
Darrel Anderson is an American artist and illustrator best known for his work on Stephen King’s The Dark Tower series.
-
D.
Andrew Detmer
Andrew Detmer is the troubled, telekinetic teenager whose descent into violence drives the found-footage superhero film "Chronicle."
-
E.
Jake Dyson
Jake Dyson is a British lighting designer and engineer, known for leading innovative lighting projects within the Dyson technology company founded by his father, James Dyson.
- 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_69d87f1d32208190942e4e499a80c18c |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e21e5ffba88190b9dc7bb9afb6fdf2 |
completed | April 17, 2026, 11:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fffef96a088190a1c1728288a9c4ef |
completed | May 10, 2026, 3:43 a.m. |
Created at: April 10, 2026, 5:02 a.m.