Triple
T13109298
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Mick |
E310928
|
entity |
| Predicate | executiveProducer |
P7225
|
FINISHED |
| Object | John Chernin |
E1023783
|
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: John Chernin | Statement: [The Mick, executiveProducer, John Chernin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Chernin Context triple: [The Mick, executiveProducer, John Chernin]
-
A.
John Chernin
chosen
John Chernin is an American television writer and producer best known for co-creating the comedy series "The Mick" and working on shows like "It's Always Sunny in Philadelphia."
-
B.
Ben Demaree
Ben Demaree is a cinematographer and filmmaker known for his work on low-budget genre films, including fantasy and science fiction titles.
-
C.
Mark Rosenthal
Mark Rosenthal is an American screenwriter known for co-writing major Hollywood films, including contributing to the story for "Star Trek VI: The Undiscovered Country."
-
D.
Larry Eisenberg
Larry Eisenberg was an American biomedical engineer, science fiction writer, and humorist best known for his witty limericks and contributions to speculative fiction.
-
E.
Jonathan Goldsmith
Jonathan Goldsmith is a Canadian composer best known for his film and television scores.
- 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_69d806a872d08190a329806f8ff30df4 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d9817ce07881909ec552bf861ac175 |
completed | April 10, 2026, 11:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6f5d205408190883b67739d5efaa7 |
completed | May 3, 2026, 7:14 a.m. |
Created at: April 9, 2026, 9:05 p.m.