Triple
T14080469
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stigmata |
E338851
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Arnold Rifkin |
E757291
|
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: Arnold Rifkin | Statement: [Stigmata, producer, Arnold Rifkin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Arnold Rifkin Context triple: [Stigmata, producer, Arnold Rifkin]
-
A.
Arnold Rifkin
chosen
Arnold Rifkin is a film producer best known for his work on action and thriller movies, including the 2002 suspense film "Phone Booth."
-
B.
Saul M. Rifkin
Saul M. Rifkin is the birth name of American actor Ron Rifkin, known for his work in film, television, and theater.
-
C.
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.
-
D.
Adam Rifkin
Adam Rifkin is an American filmmaker and screenwriter known for his work on both mainstream comedies and cult-favorite independent films.
-
E.
Steven Fierberg
Steven Fierberg is an American cinematographer known for his work on feature films and television series, including the romantic drama "Love & Other Drugs."
- 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_69d81c687b0c819087fd9ed4198403f8 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de5c5f759c81909bfd60ab35b0937b |
completed | April 14, 2026, 3:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcb672c08081908e1ff9030745776a |
completed | May 7, 2026, 3:57 p.m. |
Created at: April 9, 2026, 10:21 p.m.