Triple
T18215947
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Desert Saints |
E436158
|
entity |
| Predicate | writer |
P1360
|
FINISHED |
| Object | Richard Greenberg |
—
|
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: Richard Greenberg | Statement: [Desert Saints, writer, Richard Greenberg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Richard Greenberg Context triple: [Desert Saints, writer, Richard Greenberg]
-
A.
Richard Greenberg
chosen
Richard Greenberg is a film director best known for helming the crime thriller "Desert Saints."
-
B.
Richard A. Greenberg
Richard A. Greenberg is a film producer known for his work on the baseball biographical film "The Babe."
-
C.
Phil Greenberg
Phil Greenberg is an immunologist and biotech entrepreneur known for pioneering work in cancer immunotherapy and co-founding Juno Therapeutics.
-
D.
Roger Greenberg
Roger Greenberg is the neurotic, self-absorbed protagonist of the 2010 Noah Baumbach film "Greenberg," portrayed by Ben Stiller.
-
E.
Michael Greenberg
Michael Greenberg is an American businessman best known as the co-founder and longtime executive leader of the global footwear company Skechers.
- 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_69d8b9103a8081908bbb0836fef10efd |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4e47765a081908d0bbca1245f89ba |
completed | April 19, 2026, 2:19 p.m. |
Created at: April 10, 2026, 10:32 a.m.