Triple
T20293290
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | George Donner |
E510080
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | George Donner |
—
|
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: George Donner | Statement: [George Donner, name, George Donner]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: George Donner Context triple: [George Donner, name, George Donner]
-
A.
George Donner
chosen
George Donner was an American pioneer and leader of the ill-fated Donner Party wagon train that became trapped in the Sierra Nevada during the winter of 1846–1847.
-
B.
Samuel Ballard
Samuel Ballard is a fictional barrister and conservative, somewhat pompous head of chambers in John Mortimer’s Rumpole of the Bailey stories.
-
C.
Francis Anthony Donner
Francis Anthony Donner was the birth name of Frank Fay, an American stage and film actor and vaudeville comedian prominent in the early 20th century.
-
D.
Charles Driggs
Charles Driggs is the uptight New York businessman whose impulsive adventure with a free-spirited woman drives the plot of the 1986 film "Something Wild."
-
E.
John Fanning
John Fanning is an American entrepreneur best known for co-founding the pioneering peer-to-peer file sharing service Napster.
- 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_69e0b4c652388190b782cad965e5a098 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e677024de08190bfa54ae26b5486d1 |
completed | April 20, 2026, 6:57 p.m. |
Created at: April 16, 2026, 11:12 a.m.