Triple
T22948041
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Skippy Devereaux |
E569927
|
entity |
| Predicate | isChildOf |
P33614
|
FINISHED |
| Object | George Devereaux |
—
|
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 Devereaux | Statement: [Skippy Devereaux, isChildOf, George Devereaux]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: George Devereaux Context triple: [Skippy Devereaux, isChildOf, George Devereaux]
-
A.
George Devereaux
chosen
George Devereaux is the late husband of Blanche Devereaux, a character referenced in the television sitcom "The Golden Girls."
-
B.
David Devereaux
David Devereaux is a minor fictional character from the television sitcom "The Golden Girls," known primarily as the son of Blanche Devereaux.
-
C.
Luc Deveraux
Luc Deveraux is the resurrected Vietnam War soldier turned emotion-struggling super-soldier protagonist of the "Universal Soldier" science fiction action film series.
-
D.
Charlie Deveraux
Charlie Deveraux is an individual known primarily through their association as a friend of John Tate.
-
E.
Peter Devereaux
Peter Devereaux is a seasoned, highly skilled former CIA operative who becomes embroiled in a dangerous espionage conspiracy in the spy thriller film "The November Man."
- 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_69e2459199d08190a8184ee2aa935842 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1819fbf8c8190ad80c93f1507aa73 |
completed | April 29, 2026, 3:57 a.m. |
Created at: April 17, 2026, 3:46 p.m.