Triple
T18755094
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Drive Angry |
E458628
|
entity |
| Predicate | musicBy |
P1952
|
FINISHED |
| Object | Michael Wandmacher |
—
|
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 Wandmacher | Statement: [Drive Angry, musicBy, Michael Wandmacher]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michael Wandmacher Context triple: [Drive Angry, musicBy, Michael Wandmacher]
-
A.
Michael Wandmacher
chosen
Michael Wandmacher is an American film and television composer known for his work on horror and action projects, including the score for "My Bloody Valentine 3D."
-
B.
Michael Tuchner
Michael Tuchner was a British film and television director known for his work on crime dramas and character-driven stories in the 1960s and 1970s.
-
C.
Ben Fankhauser
Ben Fankhauser is an American stage actor and singer best known for originating the role of Davey in the Broadway production of the musical "Newsies."
-
D.
Michael Bernhard
Michael Bernhard is a political scientist known for his scholarship on democratization and for serving as editor-in-chief of the journal Perspectives on Politics.
-
E.
Alan Schilke
Alan Schilke is a prominent roller coaster engineer known for designing innovative and extreme thrill rides for major amusement parks worldwide.
- 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.