Triple
T17767651
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Adriaan |
E443550
|
entity |
| Predicate | hasShortForm |
P43
|
FINISHED |
| Object | Arie |
—
|
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: Arie | Statement: [Adriaan, hasShortForm, Arie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Arie Context triple: [Adriaan, hasShortForm, Arie]
-
A.
Arie
chosen
Arie is a given name used in various cultures, often as a short form or variant of names like Ariel.
-
B.
India.Arie
India.Arie is an American singer-songwriter and guitarist known for her soulful blend of R&B and neo-soul, introspective lyrics, and emphasis on self-love and spirituality.
-
C.
Ariam
Ariam is a town located in the Ikwuano local government area of Abia State in southeastern Nigeria.
-
D.
Ariel Gade
Ariel Gade is an American former child actress best known for her roles in films like "Dark Water" and "Aliens in the Attic" and for her work on television.
-
E.
Gisken Armand
Gisken Armand is a Norwegian actress known for her work in film, television, and theatre.
- 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_69d8b9edf16c8190a59ebd245d378f4f |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e485fccb9881908923564bf319f3c1 |
completed | April 19, 2026, 7:36 a.m. |
Created at: April 10, 2026, 10:11 a.m.