Triple
T19411336
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Asian Film Award for Best Composer |
E485593
|
entity |
| Predicate | hasAwarded |
P2391
|
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: [Asian Film Award for Best Composer, hasAwarded, Mowg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mowg Context triple: [Asian Film Award for Best Composer, hasAwarded, 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.
Mogareeka
Mogareeka is a small coastal locality in New South Wales, Australia, known for its beaches and estuarine scenery near Tathra.
-
E.
Mvezo
Mvezo is a small rural village in South Africa’s Eastern Cape best known as the birthplace of Nelson Mandela.
- 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_69d8e8d5162481909db12435d9535c1a |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e62af681288190ba2ec52d5adb6a22 |
completed | April 20, 2026, 1:32 p.m. |
Created at: April 10, 2026, 1:37 p.m.