Triple
T22123715
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Deliver Us from Evil |
E546737
|
entity |
| Predicate | musicBy |
P1952
|
FINISHED |
| Object | Mowg |
—
|
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: Mowg | Statement: [Deliver Us from Evil, musicBy, Mowg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mowg Context triple: [Deliver Us from Evil, musicBy, Mowg]
-
A.
Mowg
chosen
Mowg is a South Korean film composer known for his atmospheric and emotionally resonant scores for critically acclaimed movies.
-
B.
Mowe
Mowe is a rapidly developing suburban town in Ogun State, Nigeria, situated along the key Lagos–Ibadan transport and economic corridor.
-
C.
Mogpog
Mogpog is a coastal municipality in the island province of Marinduque in the Philippines, known as the birthplace of the Moriones Festival.
-
D.
Mog
Mog is a moogle character from Final Fantasy VI known for his dancing abilities and unique role as both a fighter and comic relief in the party.
-
E.
Mogareeka
Mogareeka is a small coastal locality in New South Wales, Australia, known for its beaches and estuarine scenery near Tathra.
- 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_69e11e39bf348190b541bfa16a7b71e0 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f1298016e081909d00015ca516d9fd |
completed | April 28, 2026, 9:41 p.m. |
Created at: April 16, 2026, 8:31 p.m.