Triple
T21921592
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Simpsons Movie |
E541328
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object | John Carnochan |
—
|
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: John Carnochan | Statement: [The Simpsons Movie, editedBy, John Carnochan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Carnochan Context triple: [The Simpsons Movie, editedBy, John Carnochan]
-
A.
John Carnochan
chosen
John Carnochan is an editor known for his work on the animated film "Robots" and other feature-length animation projects.
-
B.
John Carnes
John Carnes was an American industrialist best known for co-founding the Lima Locomotive Works, a major manufacturer of steam locomotives in the United States.
-
C.
Michael Kanin
Michael Kanin was an American screenwriter best known for his Academy Award–winning work in classic Hollywood films, often in collaboration with his wife, Fay Kanin.
-
D.
John Ketcham
John Ketcham is a film producer best known for his work on the biographical sports drama "The Hurricane."
-
E.
Charles T. Kanganis
Charles T. Kanganis is an American film director and screenwriter known for working on family-oriented action and comedy movies in the 1990s.
- 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_69e0c47d74488190a15119108794a307 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f1233c29008190b84ae551b14eb2db |
completed | April 28, 2026, 9:14 p.m. |
Created at: April 16, 2026, 7:45 p.m.