Triple
T12389201
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MouseHunt (1997 film) |
E295947
|
entity |
| Predicate | storyBy |
P1955
|
FINISHED |
| Object | Adam Rifkin |
E980338
|
NE FINISHED |
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: Adam Rifkin | Statement: [MouseHunt (1997 film), storyBy, Adam Rifkin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Adam Rifkin Context triple: [MouseHunt (1997 film), storyBy, Adam Rifkin]
-
A.
Adam Rifkin
chosen
Adam Rifkin is an American filmmaker and screenwriter known for his work on both mainstream comedies and cult-favorite independent films.
-
B.
Jay Rifkin
Jay Rifkin is an American music producer and entrepreneur best known for his collaborations with Hans Zimmer and his work on Disney projects such as The Lion King.
-
C.
Alan Rifkin
Alan Rifkin is a writer and essayist known for his reflective, Southern California–centered nonfiction and fiction.
-
D.
Ron Rifkin
Ron Rifkin is an American actor known for his character roles in film, television, and theater, including prominent parts in series like "Alias" and numerous stage productions.
-
E.
Saul M. Rifkin
Saul M. Rifkin is the birth name of American actor Ron Rifkin, known for his work in film, television, and theater.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d6ad9e653c8190b1473c860ee53dae |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d93fcf6aa8819080c9a2407a72db2e |
completed | April 10, 2026, 6:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f63ef7fabc819090837c11c4c34651 |
completed | May 2, 2026, 6:14 p.m. |
Created at: April 8, 2026, 9:54 p.m.