Triple
T38247780
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Johnny |
E1013939
|
entity |
| Predicate | musicVideoCountryOfProduction |
P83296
|
FINISHED |
| Object | Nigeria |
—
|
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: Nigeria | Statement: [Johnny, musicVideoCountryOfProduction, Nigeria]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: musicVideoCountryOfProduction Context triple: [Johnny, musicVideoCountryOfProduction, Nigeria]
-
A.
musicVideoFilmingCountry
Indicates the country where the music video was filmed.
-
B.
musicVideoCountry
chosen
Indicates the country associated with the production, release, or origin of a music video.
-
C.
musicVideoDirector
Indicates that one entity is the director responsible for creating or overseeing the production of the other entity, which is a music video.
-
D.
musicVideoEra
Indicates the time period or era during which a music video was produced, released, or is stylistically associated.
-
E.
musicVideoKnownFor
Indicates that a particular music video is especially recognized for, or strongly associated with, a given work, artist, or notable feature.
- F. None of above.
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_69f76dd7e89c8190b7866bc85aea521b |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fe991bca608190b524e419642f4243 |
completed | May 9, 2026, 2:16 a.m. |
| PD | Predicate disambiguation | batch_69fe979fc1c4819091fc48d63ea12063 |
completed | May 9, 2026, 2:10 a.m. |
Created at: May 3, 2026, 4:30 p.m.