Triple
T22427446
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Emma. (2020 film) |
E554408
|
entity |
| Predicate | editor |
P1954
|
FINISHED |
| Object | Nick Emerson |
—
|
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: Nick Emerson | Statement: [Emma. (2020 film), editor, Nick Emerson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nick Emerson Context triple: [Emma. (2020 film), editor, Nick Emerson]
-
A.
Nick Emerson
Nick Emerson is an editor known for his work on editions of Shakespearean plays, including "Lady Macbeth."
-
B.
Nick Emerson
Nick Emerson is a film editor known for his work on the biographical romantic drama "Film Stars Don’t Die in Liverpool."
-
C.
Nick Emerson
chosen
Nick Emerson is a film editor known for his work on the movie "Cherrybomb."
-
D.
Ken Emerson
Ken Emerson is an American music journalist and cultural historian known for his writings on popular music and its social context.
-
E.
Danny Embling
Danny Embling is the introspective, awkward teenage protagonist of the Australian coming-of-age film "Flirting," portrayed by Noah Taylor.
- 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_69e11e4f2d0c819091aa3558ea2ee630 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15a2e438481908d43026727afa709 |
completed | April 29, 2026, 1:09 a.m. |
Created at: April 16, 2026, 8:47 p.m.