Triple
T10836799
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Get Hard |
E255779
|
entity |
| Predicate | screenwriter |
P2831
|
FINISHED |
| Object | Jay Martel |
E855413
|
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: Jay Martel | Statement: [Get Hard, screenwriter, Jay Martel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jay Martel Context triple: [Get Hard, screenwriter, Jay Martel]
-
A.
Jay Martel
chosen
Jay Martel is a television writer, producer, and showrunner best known for his work on acclaimed comedy series such as Key & Peele.
-
B.
Mark Dacascos
Mark Dacascos is an American actor and martial artist known for his roles in action films and television, as well as for serving as the Chairman on the TV show "Iron Chef America."
-
C.
Jason Halbert
Jason Halbert is a music producer and keyboardist best known for his long-time work with Kelly Clarkson as both a producer and musical director.
-
D.
Craig Heisinger
Craig Heisinger is a Canadian ice hockey executive best known for his long-time leadership role with the Manitoba Moose organization.
-
E.
Brian Marshall
Brian Marshall was a British actor known for his supporting roles in film and television, including an appearance in the crime thriller "The Long Good Friday."
- 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_69d6aa81a5d08190aa86689061d1ddd2 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d746ff70148190b844ab92d796af6c |
completed | April 9, 2026, 6:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69dff7c739708190b0d58fc2d6392c6c |
completed | April 15, 2026, 8:40 p.m. |
Created at: April 8, 2026, 9:19 p.m.