Triple
T11819821
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cecil Franklin |
E281095
|
entity |
| Predicate | siblingOf |
P363
|
FINISHED |
| Object | Vaughn Franklin |
E287332
|
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: Vaughn Franklin | Statement: [Cecil Franklin, siblingOf, Vaughn Franklin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vaughn Franklin Context triple: [Cecil Franklin, siblingOf, Vaughn Franklin]
-
A.
Vaughn Franklin
chosen
Vaughn Franklin is one of the children of renowned Baptist minister and civil rights activist C. L. Franklin.
-
B.
Vance Franklin
Vance Franklin is an individual notable enough to be specifically cited as a bearer of the surname Franklin.
-
C.
Curt Vaughan
Curt Vaughan is a character in the horror-comedy film "The Cabin in the Woods," portrayed as the stereotypical jock whose behavior is manipulated by external forces.
-
D.
Vincent Franklin
Vincent Franklin is a British character actor known for his work in television comedies and dramas such as "The Thick of It," "Cucumber," and "Bodyguard."
-
E.
Caspian Vaughn
Caspian Vaughn is a son of German supermodel and actress Claudia Schiffer.
- 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_69d6ab26aae88190b2489efcb2a24234 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a5e87e488190905bc3bb6d721e56 |
completed | April 10, 2026, 7:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f48a35f9d081909c4cc7d7ce78e4fc |
completed | May 1, 2026, 11:10 a.m. |
Created at: April 8, 2026, 9:42 p.m.