Triple
T8335378
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Annabelle |
E195774
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Peter Safran |
E213968
|
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: Peter Safran | Statement: [Annabelle, producer, Peter Safran]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Peter Safran Context triple: [Annabelle, producer, Peter Safran]
-
A.
Peter Safran
chosen
Peter Safran is a British-American film producer and manager best known for producing major horror franchises like The Conjuring universe and DC superhero films, and for serving as co-chair and CEO of DC Studios.
-
B.
Michael Rohatyn
Michael Rohatyn is a film composer best known for scoring independent movies such as the drama anthology "Personal Velocity."
-
C.
Peter Melnick
Peter Melnick is an American composer known for his film and television scores, including his work on the romantic comedy "L.A. Story."
-
D.
Michael Aizenman
Michael Aizenman is a mathematical physicist renowned for his influential work in statistical mechanics, probability theory, and quantum field theory.
-
E.
Andrew Weisblum
Andrew Weisblum is an American film editor known for his work on major feature films, including collaborations with directors like Darren Aronofsky and Wes Anderson.
- 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_69ca82ecbdc481908a55cad8ca062d88 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb7fd2ca648190991e398ba70caf8d |
completed | March 31, 2026, 8:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cd95d9b92c8190b1eb0e64aa7ea59e |
completed | April 1, 2026, 10:02 p.m. |
Created at: March 30, 2026, 5:57 p.m.