Triple
T21686987
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Overboard (2018 film) |
E535254
|
entity |
| Predicate | writer |
P1360
|
FINISHED |
| Object | Rob 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: Rob Greenberg | Statement: [Overboard (2018 film), writer, Rob Greenberg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rob Greenberg Context triple: [Overboard (2018 film), writer, Rob Greenberg]
-
A.
Rob Greenberg
chosen
Rob Greenberg is an American screenwriter and television writer-director known for his work on comedy films and TV series.
-
B.
Adrian Adolph Greenberg
Adrian Adolph Greenberg, professionally known simply as Adrian, was a renowned American costume designer best known for his iconic work in classic Hollywood films such as "The Wizard of Oz."
-
C.
Robbie Greenberg
Robbie Greenberg is an American cinematographer known for his work on feature films and television, including the family adventure movie "Free Willy."
-
D.
Roger Greenberg
Roger Greenberg is the neurotic, self-absorbed protagonist of the 2010 Noah Baumbach film "Greenberg," portrayed by Ben Stiller.
-
E.
Will Greenberg
Will Greenberg is an American actor and comedian known for his television roles in various comedy series.
- 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_69e0c469b6ec8190aee4cadd1527db91 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef96cc31b8819086ca980521f94501 |
completed | April 27, 2026, 5:03 p.m. |
Created at: April 16, 2026, 6:44 p.m.