Triple
T22608078
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Drive Me Crazy |
E566618
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Amy Robinson |
—
|
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: Amy Robinson | Statement: [Drive Me Crazy, producer, Amy Robinson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Amy Robinson Context triple: [Drive Me Crazy, producer, Amy Robinson]
-
A.
Amy Robinson
chosen
Amy Robinson is an American actress and film producer best known for her breakout role in Martin Scorsese’s 1973 film "Mean Streets."
-
B.
Jennifer Robinson
Jennifer Robinson is a prominent human-rights lawyer known for her work on high-profile freedom of speech and civil liberties cases.
-
C.
Karen Robinson
Karen Robinson is a Canadian actress best known for her role as the sharp-tongued council member Ronnie Lee on the acclaimed television comedy series Schitt's Creek.
-
D.
Susan Robinson
Susan Robinson is best known as the wife of acclaimed British character actor Denholm Elliott.
-
E.
Amy Burley
Amy Burley is a free-spirited, V-addicted drifter who becomes Jason Stackhouse’s intense and ultimately tragic love interest in the TV series "True Blood."
- 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_69e245884860819081046ce07d5872c4 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f167e86794819097e9c1ea83db52e6 |
completed | April 29, 2026, 2:07 a.m. |
Created at: April 17, 2026, 2:55 p.m.