Triple
T16671912
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | E-Pro |
E405123
|
entity |
| Predicate | musicVideoDirector |
P4911
|
FINISHED |
| Object | Shynola |
E794248
|
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: Shynola | Statement: [E-Pro, musicVideoDirector, Shynola]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shynola Context triple: [E-Pro, musicVideoDirector, Shynola]
-
A.
Shynola
chosen
Shynola is a British collective of graphic designers and directors known for their innovative, visually distinctive music videos and animation work.
-
B.
Shanly
Shanly is a small rural community located within the Township of South Dundas in eastern Ontario, Canada.
-
C.
Shala
Shala is a Mesopotamian goddess associated with weather and grain, best known as the wife of the storm god Adad (Ishkur).
-
D.
Syal
Syal is the surname of Meera Syal, a prominent British-Indian comedian, writer, playwright, and actress known for her work in television, film, and literature.
-
E.
Sussala
Sussala was a medieval ruler of Kashmir from the Lohara dynasty, known for his turbulent reign marked by internal conflicts and efforts to consolidate royal authority.
- 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_69d8838b5fbc81908c6575c132b82e80 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37ca175088190a0435422e13278c2 |
completed | April 18, 2026, 12:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a008a3916508190bd5edd91310ddb5a |
completed | May 10, 2026, 1:38 p.m. |
Created at: April 10, 2026, 5:18 a.m.