Triple
T15045435
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Disclosure |
E379213
|
entity |
| Predicate | associatedAct |
P37
|
FINISHED |
| Object | AlunaGeorge |
E746925
|
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: AlunaGeorge | Statement: [Disclosure, associatedAct, AlunaGeorge]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: AlunaGeorge Context triple: [Disclosure, associatedAct, AlunaGeorge]
-
A.
AlunaGeorge
chosen
AlunaGeorge is a British electronic music duo known for blending R&B vocals with futuristic pop and UK bass production.
-
B.
Alaina
Alaina is a feminine given name, typically considered a variant of names like Alain or Alan.
-
C.
Aliza
Aliza is a feminine given name, often considered a variant of Eliza and used in various cultures with meanings related to joy or nobility.
-
D.
Lyla
"Lyla" is a song by the English rock band Oasis, featured on their 2005 album "Don't Believe the Truth."
-
E.
Alella
Alella is a small coastal wine-producing town in Catalonia, Spain, known for its Denominación de Origen (DO) Alella wines and proximity to Barcelona.
- 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_69d85cd64d108190853797a95c11cc45 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded830c3c08190a87b81abbbb75377 |
completed | April 15, 2026, 12:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe9de54380819084568664b63322d2 |
completed | May 9, 2026, 2:37 a.m. |
Created at: April 10, 2026, 3 a.m.