Triple
T22308184
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Riko Shibata |
E551440
|
entity |
| Predicate | hasRelativeByMarriage |
P7844
|
FINISHED |
| Object | Weston Cage |
—
|
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: Weston Cage | Statement: [Riko Shibata, hasRelativeByMarriage, Weston Cage]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Weston Cage Context triple: [Riko Shibata, hasRelativeByMarriage, Weston Cage]
-
A.
Weston Cage
chosen
Weston Cage is an American actor and musician, known as the son of actor Nicolas Cage and for his work in metal music and film.
-
B.
Will Hunt
Will Hunt is an American rock drummer best known for his work with the band Evanescence and various other hard rock and metal acts.
-
C.
Caspian Vaughn
Caspian Vaughn is a son of German supermodel and actress Claudia Schiffer.
-
D.
Scott Cain
Scott Cain is an American local government official who has served as the mayor of Cleburne, Texas.
-
E.
William Cage
William Cage is the protagonist of the science fiction film "Edge of Tomorrow," a military public relations officer who becomes caught in a time loop while fighting an alien invasion.
- 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_69e11e46c0188190800181a4233f28fe |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f1574c8a248190bf5eef5be78381fd |
completed | April 29, 2026, 12:56 a.m. |
Created at: April 16, 2026, 8:41 p.m.