Triple
T3858755
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Uncut Gems |
E90083
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Oscar Boyson
Oscar Boyson is an American film producer and filmmaker known for his collaborations with the Safdie brothers and work on acclaimed independent films.
|
E392930
|
NE FINISHED |
How this triple was built (4 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: Oscar Boyson | Statement: [Uncut Gems, producer, Oscar Boyson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oscar Boyson Context triple: [Uncut Gems, producer, Oscar Boyson]
-
A.
Oscar Humphries
Oscar Humphries is an Australian-born art dealer, curator, and former magazine editor known for his work in the contemporary art world.
-
B.
William Osborne
William Osborne is a British screenwriter best known for co-writing the 1992 action-comedy film "Stop! Or My Mom Will Shoot."
-
C.
Max Dennison
Max Dennison is the skeptical teenage protagonist of the Halloween-themed fantasy film "Hocus Pocus," whose actions accidentally resurrect three witches in Salem.
-
D.
Brian Oliver
Brian Oliver is a film producer best known for his work on acclaimed movies such as the psychological thriller "Black Swan."
-
E.
Gene Milford
Gene Milford was an American film editor known for his work on numerous classic Hollywood films across several decades.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Oscar Boyson Triple: [Uncut Gems, producer, Oscar Boyson]
Generated description
Oscar Boyson is an American film producer and filmmaker known for his collaborations with the Safdie brothers and work on acclaimed independent films.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Oscar Boyson Target entity description: Oscar Boyson is an American film producer and filmmaker known for his collaborations with the Safdie brothers and work on acclaimed independent films.
-
A.
Oscar Humphries
Oscar Humphries is an Australian-born art dealer, curator, and former magazine editor known for his work in the contemporary art world.
-
B.
William Osborne
William Osborne is a British screenwriter best known for co-writing the 1992 action-comedy film "Stop! Or My Mom Will Shoot."
-
C.
Max Dennison
Max Dennison is the skeptical teenage protagonist of the Halloween-themed fantasy film "Hocus Pocus," whose actions accidentally resurrect three witches in Salem.
-
D.
Brian Oliver
Brian Oliver is a film producer best known for his work on acclaimed movies such as the psychological thriller "Black Swan."
-
E.
Gene Milford
Gene Milford was an American film editor known for his work on numerous classic Hollywood films across several decades.
- F. None of above. chosen
Provenance (5 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_69aed95b3c088190a8f85d19e6070599 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeec1e68f88190941c39221486f6ae |
completed | March 9, 2026, 3:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b504228220819082e11b316ba79b08 |
completed | March 14, 2026, 6:45 a.m. |
| NEDg | Description generation | batch_69b505420de0819086dee340f34a8886 |
completed | March 14, 2026, 6:50 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b5064192a48190a0f95dee872437e0 |
completed | March 14, 2026, 6:54 a.m. |
Created at: March 9, 2026, 3:19 p.m.