Triple
T18078337
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Academy Award for Best Film Editing |
E432616
|
entity |
| Predicate | winner |
P354
|
FINISHED |
| Object | Paul Rogers |
—
|
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: Paul Rogers | Statement: [Academy Award for Best Film Editing, winner, Paul Rogers]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Paul Rogers Context triple: [Academy Award for Best Film Editing, winner, Paul Rogers]
-
A.
Paul Rogers
chosen
Paul Rogers is an American film editor best known for his Academy Award–winning work on the multiverse film "Everything Everywhere All at Once."
-
B.
Peter Rogers
Peter Rogers was a British film producer best known for overseeing the long-running and popular "Carry On" comedy film series.
-
C.
Phil Rogers
Phil Rogers is an American sportswriter and baseball analyst known for his extensive coverage of Major League Baseball and authorship of several books on the sport.
-
D.
Graham Rogers
Graham Rogers is an American actor known for his roles in television series such as "The Kominsky Method," "Quantico," and "Atypical."
-
E.
Paul Eldridge
Paul Eldridge was an American writer, poet, and educator best known for his philosophical and speculative fiction, often co-authored with George Sylvester Viereck.
- 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_69d8b9070cac81909fa9473fb1c3f1c7 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4d9f6a85481909894c39c8be98d5d |
completed | April 19, 2026, 1:34 p.m. |
Created at: April 10, 2026, 10:27 a.m.