Triple
T20767646
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hideaki Ito |
E511139
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Lesson of the Evil |
—
|
NE NERFINISHED |
How this triple was built (3 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: Lesson of the Evil | Statement: [Hideaki Ito, notableWork, Lesson of the Evil]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lesson of the Evil Context triple: [Hideaki Ito, notableWork, Lesson of the Evil]
-
A.
Deliver Us from Evil
Deliver Us from Evil is a 2014 supernatural horror film in which Eric Bana plays a New York police officer who investigates a series of disturbing and seemingly demonic crimes.
-
B.
Deliver Us from Evil
Deliver Us from Evil is a South Korean action-thriller film featuring Lee Jung-jae in a prominent role, known for its intense violence and stylish, noir-inspired storytelling.
-
C.
Known to Evil
"Known to Evil" is a crime novel by Walter Mosley featuring private investigator Leonid McGill navigating corruption and moral ambiguity in contemporary New York City.
-
D.
Deliver Us From Evil
Deliver Us From Evil is the 1989 debut EP by heavy metal project Kryst the Conqueror, featuring members of the Misfits and showcasing a Christian-themed power metal style.
-
E.
Beyond Evil
Beyond Evil is a critically acclaimed South Korean psychological crime thriller drama series centered on two detectives obsessively pursuing a serial killer in a small town.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lesson of the Evil Target entity description: Lesson of the Evil is a Japanese horror-thriller film about a psychopathic high school teacher who resorts to murder to solve his problems, directed by Takashi Miike and based on Yusuke Kishi’s novel.
-
A.
Deliver Us from Evil
Deliver Us from Evil is a 2014 supernatural horror film in which Eric Bana plays a New York police officer who investigates a series of disturbing and seemingly demonic crimes.
-
B.
Deliver Us from Evil
Deliver Us from Evil is a South Korean action-thriller film featuring Lee Jung-jae in a prominent role, known for its intense violence and stylish, noir-inspired storytelling.
-
C.
Known to Evil
"Known to Evil" is a crime novel by Walter Mosley featuring private investigator Leonid McGill navigating corruption and moral ambiguity in contemporary New York City.
-
D.
Deliver Us From Evil
Deliver Us From Evil is the 1989 debut EP by heavy metal project Kryst the Conqueror, featuring members of the Misfits and showcasing a Christian-themed power metal style.
-
E.
Beyond Evil
Beyond Evil is a critically acclaimed South Korean psychological crime thriller drama series centered on two detectives obsessively pursuing a serial killer in a small town.
- F. None of above. chosen
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_69e0b4ca01148190ac018e57e0cab46f |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c24df58c8190b37398353ce4bf24 |
completed | April 21, 2026, 12:18 a.m. |
Created at: April 16, 2026, 12:36 p.m.