Triple
T15073069
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Barry Award |
E379929
|
entity |
| Predicate | notableRecipient |
P108
|
FINISHED |
| Object | Don Winslow |
E891038
|
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: Don Winslow | Statement: [Barry Award, notableRecipient, Don Winslow]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Don Winslow Context triple: [Barry Award, notableRecipient, Don Winslow]
-
A.
Don Winslow
chosen
Don Winslow is an American crime and thriller novelist known for his gritty, fast-paced stories, including the book that inspired the film "Savages."
-
B.
Barrett Doss
Barrett Doss is an American actress and singer best known for her starring role as firefighter Victoria Hughes on the television drama series "Station 19."
-
C.
Ned Rawlins
Ned Rawlins is a character in Robert Silverberg’s science fiction novel "The Man in the Maze," involved in the story’s exploration of alien contact and human isolation.
-
D.
Doug Drummond
Doug Drummond is a Canadian municipal politician who served as mayor of the city of Burnaby, British Columbia.
-
E.
Frank Reavis
Frank Reavis was an American politician and public figure significant enough in his community that a high school was named in his honor.
- 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_69d85cd7683881908d405c1b5d7b4f7f |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69dff7fa0570819088a97b28173154cd |
completed | April 15, 2026, 8:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fea5cff69c8190b6252509c1aa7ebb |
completed | May 9, 2026, 3:11 a.m. |
Created at: April 10, 2026, 3:02 a.m.