Triple
T15289422
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mr. Right (2015 film) |
E365487
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object | Brett M. Reed |
—
|
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: Brett M. Reed | Statement: [Mr. Right (2015 film), editedBy, Brett M. Reed]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brett M. Reed Context triple: [Mr. Right (2015 film), editedBy, Brett M. Reed]
-
A.
Brett M. Reed
chosen
Brett M. Reed is a film editor best known for his work on the 2010 action movie "The Expendables."
-
B.
Gregory J. Reed
Gregory J. Reed is an author best known for co-writing the memoir "Quiet Strength," which chronicles the life and values of NFL coach Tony Dungy.
-
C.
Stephen M. Kellen
Stephen M. Kellen was a prominent financier and philanthropist known for his leadership at Arnhold and S. Bleichroeder and his significant support of cultural and educational institutions.
-
D.
Daniel P. Livermore
Daniel P. Livermore was the husband of prominent American abolitionist and women's rights advocate Mary Livermore.
-
E.
Craig A. Stough
Craig A. Stough is an American local government leader who serves as the mayor of Sylvania, Ohio.
- 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_69d85a103d9081908c1ea6c4c73ac8e3 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e00e5635b4819092a69b5806d15bff |
completed | April 15, 2026, 10:16 p.m. |
Created at: April 10, 2026, 3:15 a.m.