Triple
T5085632
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Eternal Sea |
E114630
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Ben Cooper |
E488537
|
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: Ben Cooper | Statement: [The Eternal Sea, starring, Ben Cooper]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ben Cooper Context triple: [The Eternal Sea, starring, 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.
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.
-
C.
Ray Cooper
Ray Cooper is a renowned English percussionist and session musician known for his dynamic performances and collaborations with major rock and pop artists.
-
D.
Clancy Cooper
Clancy Cooper was an American character actor known for his numerous supporting roles in mid-20th-century films and television.
-
E.
Harley Cooper
Harley Cooper is a popular fictional character from the long-running American soap opera "Guiding Light," known for her complex relationships and dramatic storylines.
- 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_69bd443e941881908eb4e8c685b6f656 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd751db4f4819088b998d7af0e6f41 |
completed | March 20, 2026, 4:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69beb13fd3a88190b5a665ba56fdd455 |
completed | March 21, 2026, 2:54 p.m. |
Created at: March 20, 2026, 1:40 p.m.