Triple
T11328968
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Over the Hedge |
E268294
|
entity |
| Predicate | screenwriter |
P2831
|
FINISHED |
| Object | Lorne Cameron |
E821583
|
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: Lorne Cameron | Statement: [Over the Hedge, screenwriter, Lorne Cameron]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lorne Cameron Context triple: [Over the Hedge, screenwriter, Lorne Cameron]
-
A.
Lorne Cameron
chosen
Lorne Cameron is a Canadian screenwriter and animator known for co-writing several major animated films, including "The Nut Job."
-
B.
Ewen Macdonald
Ewen Macdonald was a Presbyterian minister best known as the husband of Canadian author Lucy Maud Montgomery.
-
C.
Ian O. Cameron
Ian O. Cameron is a Canadian-born television producer known for his long career at ABC News and for being married to former U.S. National Security Advisor Susan Rice.
-
D.
Ian McDougall
Ian McDougall is an Australian architect best known as a founding director of the influential firm Ashton Raggatt McDougall (ARM), recognized for its bold and unconventional public architecture.
-
E.
Glen MacPherson
Glen MacPherson is a Canadian cinematographer known for his work on action and genre films in both Hollywood and international productions.
- 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_69d6aacb1f0881908c84a349fd1be047 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e9e330008190b75490efde01dc59 |
completed | April 9, 2026, 6:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e5261770ac8190b8fc7e2099aa8ace |
completed | April 19, 2026, 6:59 p.m. |
Created at: April 8, 2026, 9:32 p.m.