Triple
T20383838
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ship Ahoy |
E497907
|
entity |
| Predicate | screenwriter |
P2831
|
FINISHED |
| Object | Ben Oakland |
—
|
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 Oakland | Statement: [Ship Ahoy, screenwriter, Ben Oakland]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ben Oakland Context triple: [Ship Ahoy, screenwriter, Ben Oakland]
-
A.
Ben Oakland
chosen
Ben Oakland was an American composer and songwriter active in the early to mid-20th century, known for his contributions to popular music and film scores.
-
B.
John Oakley
John Oakley is a horse trainer best known for conditioning the racehorse Eclipse, one of the most dominant and influential Thoroughbreds in racing history.
-
C.
William Boyett
William Boyett was an American character actor best known for his numerous television roles, particularly as law enforcement figures in series like "Adam-12" and "Dragnet."
-
D.
Larry Seiple
Larry Seiple is a former American football player best known as the versatile punter and occasional offensive contributor for the Miami Dolphins during their dominant early-1970s era.
-
E.
Ted Oakes
Ted Oakes is a wildlife television producer and filmmaker known for creating high-profile nature documentaries.
- 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_69e0b4a5b7908190a972e4e7e698ae94 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e678b2ceec819091ad5205ee9b2174 |
completed | April 20, 2026, 7:04 p.m. |
Created at: April 16, 2026, 11:27 a.m.