Triple
T12259864
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Divine Ikubor |
E292191
|
entity |
| Predicate | associatedAct |
P37
|
FINISHED |
| Object | Crayon |
E968687
|
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: Crayon | Statement: [Divine Ikubor, associatedAct, Crayon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Crayon Context triple: [Divine Ikubor, associatedAct, Crayon]
-
A.
Crayon
chosen
Crayon is a Nigerian singer and songwriter signed to Mavin Records, known for his Afropop and Afrobeat-influenced music.
-
B.
The Red Crayola
The Red Crayola is an experimental rock band formed in the 1960s, known for its avant-garde, psychedelic sound and influential role in underground music.
-
C.
Pensil
Pensil is a neighborhood located within the Miguel Hidalgo borough of Mexico City, Mexico.
-
D.
Scribble
Scribble is an Apple Pencil feature on iPadOS that converts handwritten input into typed text in real time across compatible apps.
-
E.
Paintbrush
Paintbrush is a simple, early bitmap graphics editor for Microsoft Windows that allowed users to create and edit basic digital images.
- 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_69d6ab6856488190b5d31178d5015f8e |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91cd964ec81908241d2b9a96d1025 |
completed | April 10, 2026, 3:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f61e63da6081908840b1e37fd39b88 |
completed | May 2, 2026, 3:55 p.m. |
Created at: April 8, 2026, 9:52 p.m.