Triple
T18755085
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Drive Angry |
E458628
|
entity |
| Predicate | writer |
P1360
|
FINISHED |
| Object | Todd Farmer |
—
|
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: Todd Farmer | Statement: [Drive Angry, writer, Todd Farmer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Todd Farmer Context triple: [Drive Angry, writer, Todd Farmer]
-
A.
Todd Farmer
chosen
Todd Farmer is an American screenwriter best known for his work on horror films such as "My Bloody Valentine 3D" and "Jason X."
-
B.
Ed Farmer
Ed Farmer was an American Major League Baseball pitcher and longtime Chicago White Sox radio broadcaster, best known for his tenure with and contributions to the White Sox organization.
-
C.
Mark Farmer
Mark Farmer is a British actor best known for his roles in the television series "Grange Hill," "Minder," and "Johnny Jarvis."
-
D.
Jim Farmer
Jim Farmer is a film composer best known for scoring the 1996 indie comedy-drama "Box of Moonlight."
-
E.
Gary Farmer
Gary Farmer is a Canadian First Nations actor and musician known for his roles in films such as "Dead Man," "Smoke Signals," and numerous other independent and mainstream productions.
- 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_69d8d394dc308190b6725073f5db324c |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e579f084208190a4b3563d47154e69 |
completed | April 20, 2026, 12:57 a.m. |
Created at: April 10, 2026, 11:51 a.m.