Triple
T3776862
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Disaster Movie |
E83328
|
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: [Disaster Movie, producer, Peter Safran]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Peter Safran Context triple: [Disaster Movie, 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.
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.
-
C.
Michael Kagan
Michael Kagan is an Israeli technologist and entrepreneur best known as the co-founder and longtime chief technology officer of high-performance networking company Mellanox Technologies.
-
D.
Peter Kornbluh
Peter Kornbluh is an American historian and investigative journalist known for his work on U.S. foreign policy and declassified government documents, particularly regarding Latin America.
-
E.
Greg Kaplan
Greg Kaplan is an economist known for his research on household heterogeneity, consumption, and macroeconomic policy, and for his contributions to modern macroeconomic modeling.
- 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_69ad8b235e608190b5a2b1d1bfcef50b |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adcc5be3c48190a72e840d8214bb74 |
completed | March 8, 2026, 7:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4e534a02c8190b8dd76ed965f393f |
completed | March 14, 2026, 4:33 a.m. |
Created at: March 8, 2026, 3:36 p.m.