Triple
T20448712
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ARIA Award |
E501590
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object | ARIA |
—
|
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: ARIA | Statement: [ARIA Award, shortName, ARIA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ARIA Context triple: [ARIA Award, shortName, ARIA]
-
A.
ARIA
ARIA was the stock ticker symbol for Ariad Pharmaceuticals, a biotechnology company focused on developing targeted cancer therapies.
-
B.
ARIA
ARIA (Accessible Rich Internet Applications) is a W3C specification that defines ways to make web content and applications more accessible to people with disabilities by adding semantic information to HTML.
-
C.
ARIA
chosen
ARIA is the Australian Recording Industry Association, the peak body representing the recorded music industry in Australia and presenter of the annual ARIA Music Awards.
-
D.
Aria
Aria is an adult film in which actress Bridget Fonda made her debut in explicit cinema.
-
E.
Aria
Aria is a crash-safe, transactional storage engine used in MariaDB for efficient handling of complex queries and temporary tables.
- 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_69e0b4ac0a1c81908845d0f8a56abce8 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e68cff1bcc8190bfc843686be117cb |
completed | April 20, 2026, 8:30 p.m. |
Created at: April 16, 2026, 11:32 a.m.