Triple
T17812589
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Don Johnston |
E444748
|
entity |
| Predicate | friendOf |
P8712
|
FINISHED |
| Object | Winston |
—
|
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: Winston | Statement: [Don Johnston, friendOf, Winston]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Winston Context triple: [Don Johnston, friendOf, Winston]
-
A.
Winston
Winston is the given name of Winston Churchill, the British statesman who led the United Kingdom during World War II and later served again as Prime Minister.
-
B.
Winston
Winston is the birth name of Peter Tosh, the influential Jamaican reggae musician and founding member of The Wailers.
-
C.
Winston
Winston is a suave and enigmatic crime lord who manages the Continental Hotel in the John Wick film series.
-
D.
Winston
chosen
Winston is a character in the film "Broken Flowers," known as Don Johnston’s enthusiastic, mystery-loving neighbor who pushes him to investigate his past relationships.
-
E.
Winston
Winston is a surname most notably associated with Patrick Henry Winston, an influential American computer scientist and AI researcher.
- 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_69d8b9f0de78819099395b14db75a8a6 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e4887c63608190b29a407cabff0bc5 |
completed | April 19, 2026, 7:47 a.m. |
Created at: April 10, 2026, 10:14 a.m.