Triple
T22899570
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Giver (2014 film) |
E568271
|
entity |
| Predicate | cinematographyBy |
P1953
|
FINISHED |
| Object | Ross Emery |
—
|
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: Ross Emery | Statement: [The Giver (2014 film), cinematographyBy, Ross Emery]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ross Emery Context triple: [The Giver (2014 film), cinematographyBy, Ross Emery]
-
A.
Ross Emery
chosen
Ross Emery is an Australian cinematographer known for his work on genre films and large-scale visual productions, including the movie "I, Frankenstein."
-
B.
Richard Emery
Richard Emery is a bishop who has served as the ecclesiastical leader of the Episcopal Diocese of North Dakota.
-
C.
Richard Emery
Richard Emery is an American civil rights attorney and litigator known for his work on police misconduct and government accountability cases.
-
D.
Michael Emery
Michael Emery is a British archaeologist and the brother of filmmaker Martha Fiennes and actor Ralph Fiennes.
-
E.
Ken Emerson
Ken Emerson is an American music journalist and cultural historian known for his writings on popular music and its social context.
- 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_69e2458c23ec81908fa2570692c6614f |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f180155b1c8190a83eb6ec45387a1a |
completed | April 29, 2026, 3:50 a.m. |
Created at: April 17, 2026, 3:41 p.m.