Triple
T19526727
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ben Cooper |
E488537
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Ben Cooper |
—
|
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: Ben Cooper | Statement: [Ben Cooper, name, Ben Cooper]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ben Cooper Context triple: [Ben Cooper, name, Ben Cooper]
-
A.
Ben Cooper
chosen
Ben Cooper was an American film and television actor best known for his roles in 1950s Westerns and classic Hollywood productions.
-
B.
Buzz Cooper
Buzz Cooper is a central patriarchal character from the long-running soap opera "Guiding Light," known for his complex family relationships and personal redemption arcs.
-
C.
Nate Cooper
Nate Cooper is a character in the film "The Devil Wears Prada," known as the boyfriend of protagonist Andy Sachs who represents her pre-fashion-world life and values.
-
D.
Rocky Cooper
Rocky Cooper is the professional name of Veronica Balfe, an American actress and socialite best known as the wife of film star Gary Cooper.
-
E.
Rocky Cooper
Rocky Cooper is a fictional character from the long-running American soap opera "Guiding Light," belonging to the Cooper family.
- 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_69d8e8da8bec819081f400199491ccc3 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6363c2660819093a6b9a444ca0ad4 |
completed | April 20, 2026, 2:20 p.m. |
Created at: April 10, 2026, 1:41 p.m.