Triple
T19788303
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Final Cut |
E475335
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object | Perry Benson |
—
|
NE NERFINISHED |
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: Perry Benson | Statement: [Final Cut, castMember, Perry Benson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Perry Benson Context triple: [Final Cut, castMember, Perry Benson]
-
A.
Perry Benson
chosen
Perry Benson is a British character actor known for his work in film and television, often appearing in gritty dramas and offbeat comedies.
-
B.
Jim Benson
Jim Benson was an American entrepreneur and aerospace pioneer best known for founding the private spaceflight company SpaceDev.
-
C.
Perry Wright
Perry Wright is a central, abusive husband and antagonist in the television drama series "Big Little Lies."
-
D.
Pat Bunch
Pat Bunch was an American country music songwriter known for penning numerous hits for major artists throughout the 1980s and 1990s.
-
E.
Phil Dusenberry
Phil Dusenberry was an influential American advertising executive and creative director, best known for his groundbreaking work at BBDO and for shaping major campaigns for brands like Pepsi.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e51b014081908b263e167370529a |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65389c9ac81909e61b3cbb9213e72 |
completed | April 20, 2026, 4:25 p.m. |
Created at: April 10, 2026, 1:49 p.m.