Triple
T20389615
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lars and the Real Girl |
E498051
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | John Cameron |
—
|
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 Cameron | Statement: [Lars and the Real Girl, producer, John Cameron]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Cameron Context triple: [Lars and the Real Girl, producer, John Cameron]
-
A.
John Cameron
John Cameron is a British composer and arranger known for his work on film scores, television music, and popular recordings.
-
B.
John Cameron
chosen
John Cameron is a film and television producer best known for his work on the acclaimed series Fargo and frequent collaborations with the Coen brothers.
-
C.
Jack Cameron
Jack Cameron is an actor known for his role in the production "Applause."
-
D.
Michael Cameron
Michael Cameron was a Scottish Covenanter figure known for his involvement in the religious and political struggles of 17th-century Scotland, culminating in his death at the Battle of Airds Moss.
-
E.
Ken Cameron
Ken Cameron is an Australian film director known for his work on adaptations of notable literary works, including the film version of "Monkey Grip."
- 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_69e0b4a71ebc8190b153a36c738730f4 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6790e65a081909832855758fffd14 |
completed | April 20, 2026, 7:05 p.m. |
Created at: April 16, 2026, 11:28 a.m.