Triple
T34376270
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tsion Ben-Judah |
E882294
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | character in the Left Behind series |
C61395
|
CONCEPT FINISHED |
How this triple was built (1 step)
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.
CD
Concept disambiguation
gpt-5-mini-2025-08-07
Target class: character in the Left Behind series Context triple: [Tsion Ben-Judah, instanceOf, character in the Left Behind series]
-
A.
Left Behind novel
A "Left Behind" novel is a Christian apocalyptic fiction work that dramatizes events surrounding the Rapture and subsequent Tribulation through the intertwined lives of believers and nonbelievers.
-
B.
character in the Twilight series
A character in the Twilight series is an individual—human, vampire, or werewolf—whose personal history, supernatural traits, and relationships drive the romantic and dramatic conflicts within Stephenie Meyer’s Twilight universe.
-
C.
New Testament character
A New Testament character is an individual—historical, symbolic, or parabolic—who appears in the Christian New Testament writings and contributes to its theological, narrative, or moral themes.
-
D.
biblical character
A biblical character is an individual, either historical or symbolic, depicted in the Bible whose actions, experiences, and relationships contribute to the religious, moral, and narrative themes of the scriptural text.
-
E.
character in Luther
A character in Luther is an individual, fictional person who participates in the narrative of the television series "Luther," contributing to its plot, themes, and relationships through their actions, dialogue, and development.
- F. None of above. chosen
Provenance (1 batch)
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_69f349bf5d7481908dd5da4cbdf74047 |
completed | April 30, 2026, 12:23 p.m. |
Created at: May 1, 2026, 1:59 a.m.