Triple
T10226814
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Father Vito Cornelius |
E243225
|
entity |
| Predicate | helps |
P1853
|
FINISHED |
| Object | Korben Dallas |
E852865
|
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: Korben Dallas | Statement: [Father Vito Cornelius, helps, Korben Dallas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Korben Dallas Context triple: [Father Vito Cornelius, helps, Korben Dallas]
-
A.
Korben Dallas
chosen
Korben Dallas is the gruff yet heroic former special forces major-turned-taxi driver who becomes humanity’s reluctant savior in the sci-fi film "The Fifth Element."
-
B.
Karras
Karras is a surname most notably associated with Alex Karras, an American football player, actor, and sports commentator.
-
C.
Eric Draven
Eric Draven is the vengeful, resurrected rock musician and antihero from the dark fantasy film and comic series "The Crow."
-
D.
Deckard Cain
Deckard Cain is a wise and elderly Horadric scholar from the Diablo video game series, known for identifying items and guiding heroes with his extensive knowledge of lore and demons.
-
E.
John Matrix
John Matrix is the tough, resourceful former Special Forces colonel portrayed by Arnold Schwarzenegger in the 1985 action film "Commando."
- 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_69d381b0f97c819085c9b45799a5fb7c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d1fa98a48190a5caf6b6003bc14c |
completed | April 7, 2026, 9:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d71c9123cc819095da6d8dc0cfa688 |
completed | April 9, 2026, 3:27 a.m. |
Created at: April 6, 2026, 11:17 a.m.