Triple
T20037642
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Everett Greenbaum |
E497318
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Everett Greenbaum |
—
|
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: Everett Greenbaum | Statement: [Everett Greenbaum, name, Everett Greenbaum]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Everett Greenbaum Context triple: [Everett Greenbaum, name, Everett Greenbaum]
-
A.
Everett Greenbaum
chosen
Everett Greenbaum was an American television and film writer best known for his work on classic sitcoms such as "The Andy Griffith Show" and "M*A*S*H."
-
B.
Jerry Greenberg
Jerry Greenberg was an American film editor best known for his Academy Award–winning work on "The French Connection" and his influential editing on numerous major Hollywood films.
-
C.
Martin Greenberg
Martin Greenberg was an American publisher and editor best known for co-founding Gnome Press, which helped popularize early science fiction literature.
-
D.
Roger Greenberg
Roger Greenberg is the neurotic, self-absorbed protagonist of the 2010 Noah Baumbach film "Greenberg," portrayed by Ben Stiller.
-
E.
Donald P. Greenberg
Donald P. Greenberg is a pioneering computer graphics researcher and educator known for his influential work in rendering, visualization, and the development of computer graphics programs at Cornell University.
- 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_69da627278c88190babe4297a9df1236 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e662e935ac8190900cdb4f0cfde505 |
completed | April 20, 2026, 5:31 p.m. |
Created at: April 11, 2026, 3:36 p.m.