Triple
T19535085
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ain't It Fun |
E488747
|
entity |
| Predicate | musicVideoDirector |
P4911
|
FINISHED |
| Object | Sophia Peer |
—
|
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: Sophia Peer | Statement: [Ain't It Fun, musicVideoDirector, Sophia Peer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sophia Peer Context triple: [Ain't It Fun, musicVideoDirector, Sophia Peer]
-
A.
Sophia Peer
chosen
Sophia Peer is a music video director known for her work on visually distinctive projects for indie and alternative artists.
-
B.
Sophia
Sophia is a person whose given name is used in the full name Sophia Chew Nicklin Dallas.
-
C.
Sophia
Sophia is the given name of Bamba Sophia Jindan Duleep Singh, a historical figure associated with the Sikh royal lineage.
-
D.
Sophia
Sophia is an alternate given name associated with Princess Josephine of Denmark, a member of the Danish royal family.
-
E.
Sophia
Sophia of the Palatinate was a 17th-century German princess and Electress of Hanover, best known as the mother of King George I of Great Britain and a key figure in the Protestant succession to the British throne.
- 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_69d8e8db5b6c8190984b61f91981f575 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6386ddc208190962195b8aa568bed |
completed | April 20, 2026, 2:30 p.m. |
Created at: April 10, 2026, 1:41 p.m.