Triple
T14699487
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | California Suite |
E345254
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object | Michael A. Stevenson |
—
|
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: Michael A. Stevenson | Statement: [California Suite, editedBy, Michael A. Stevenson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michael A. Stevenson Context triple: [California Suite, editedBy, Michael A. Stevenson]
-
A.
Michael A. Stevenson
chosen
Michael A. Stevenson is a film editor known for his work on the romantic comedy-drama "The Goodbye Girl."
-
B.
Michael T. Williamson
Michael T. Williamson is an American actor best known for his role as Benjamin Buford "Bubba" Blue in the film Forrest Gump.
-
C.
Jonathan E. Stewart
Jonathan E. Stewart is a screenwriter and story artist best known for his work on animated feature films, including contributing to the story of Pixar’s "Cars 3."
-
D.
Craig A. Stough
Craig A. Stough is an American local government leader who serves as the mayor of Sylvania, Ohio.
-
E.
Michael A. Elliott
Michael A. Elliott is an American literary scholar and academic administrator who serves as the president of Amherst College.
- 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_69d822e4a8c08190a155df736bb7bc13 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb604f88081908a677175045496d0 |
completed | April 14, 2026, 9:47 p.m. |
Created at: April 10, 2026, 1:28 a.m.